Hoboken: Wiley, 2016. — 600 p. Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS and Excel applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health...
Reprint edition (originally published 1959). — New York: John Wiley and Sons; London: Chapman and Hall, 1984. — 275 p. The straight line occupies a central position in the presentation and interpretation of experimental results. Frequently experimenters devote considerable time and ingenuity to the dcvelopment of reasonable (and sometimes unreasonable) procedures for...
Abdelmonem Afifi, Susanne May, Robin A. Donatello, Virginia A. Clark. — 6th Edition. — CRC Press, 2019. — 434 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN13: 978-1-138-70222-6. This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing,...
5th edition. — New York: Pearson Education, 2023. — 878 p. For courses in introductory statistics. The art and science of learning from data Statistics: The Art and Science of Learning from Data takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures....
Hoboken: Wiley, 2015. — 257 p. Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces...
Amsterdam: Amsterdam University, 2018. — 384 p. The field of statistics focuses on drawing conclusions from data by modeling and analyzing the data using probabilistic models. The authors of this introductory text describe three key concepts from statistics — estimators, tests, and confidence regions — which they demonstrate and apply in an extensive variety of examples and...
Philadelphia: SIAM. 2005. - 220 p. This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments, which are required whenever a new test system is developed to monitor a manufacturing process. This protocol — not currently available in other books or technical reports — is used to determine whether the testing system is capable of...
2nd edition. — Chapman&Hall/CRC, 2005. — 386 p. Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade...
New York: Springer, 2006. — 326 p. — 2nd ed. — ISBN: 184628340X, 9781846283406 Information visualization is not only about creating graphical displays of complex and latent information structures. It also contributes to a broader range of cognitive, social, and collaborative activities. This is the first book to examine information visualization from this perspective. This 2nd...
3rd Edition. — Wiley, 1977. — 442 p. — ISBN: 0-471-16240-X Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the...
Cambridge University Press, 1966. — 211 p. — ISBN: 9780521046954, 0521046955. The book provides an introduction to the theory of cluster sets, a branch of topological analysis which has made great strides in recent years. The cluster set of a function at a particular point is the set of limit values of the function at that point which may be either a boundary point or (in the...
Second Edition. — N.-Y.: Wiley, 2014. — 288 p. — ISBN: 978-1118840313. …a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." – CHOICE This Second Edition presents a practical and understandable...
Oxford: Oxford University Press, 1998. - 105 p. This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a...
Chapman & Hall / CRC, 1981. — 189 p. This book should be of interest to senior undergraduate and postgraduate students of applied statistics. The analyses of the examples are sufficiently detailed to provide good illustrations of both general principles and important specific techniques of analysis, yet are presented in such a way that the informed reader will want to try his...
London New York. Chapman and Hall. 1989, 247 p. The first edition of this book (1970) set out a systematic basis for the analysis of binary data and in particular for the study of how the probability of "success" depends on explanatory variables. The first edition has been widely used and the general level and style have been preserved in the second edition which contains a...
New York: Apress, 2017. — 329 p. Examine and solve the common misconceptions and fallacies that non-statisticians bring to their interpretation of statistical results. Explore the many pitfalls that non-statisticians — and also statisticians who present statistical reports to non-statisticians — must avoid if statistical results are to be correctly used for evidence-based...
Cham: Springer, 2021. — 249 p. This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focus on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and...
New York: Springer, 2019. — 261 p. This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many applications...
8th ed. — New York: Pearson Education, 2020. — 636 p. Highly praised for its clear, straightforward approach, Statistics without Maths for Psychology 8th edition provides a comprehensive and accessible introduction to statistics and SPSS. This widely used and trusted textbook is packed with examples, activities, and questions to help you to test your learning and deepen your...
Chapman & Hall/CRC, 2007. — 324 p. — Monographs on Statistics & Applied Probability (Book 109). — ISBN: 978-1-58488-609-9. The book is intended for statisticians, data analysts and other scientists involved in the collection and analysis of longitudinal data. Our emphasis is on clinical and public health research, but many of the ideas will be applicable to other fields. We...
New York: Springer, 2017. — 618 p. Avoiding a “theorem-proof” format, it shows concrete applications on a variety of empirical time series. The book can be used in graduate courses in nonlinear time series and at the same time also includes interesting material for more advanced readers. Though it is largely self-contained, readers require an understanding of basic linear time...
New York: McGraw[Hill, 2014. - 1031 p. Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Second Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors’ wealth of teaching experience and encourages students...
Boca Raton: CRC Press, 2022. — 323 p. An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R. It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and...
New York: Wiley-Blackwell, 2020. — 872 p. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding...
New York: Chapman and Hall/CRC, 2018. — 464 p. — ISBN: 978-1-138-05488-2 This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing,...
Chapman and Hall/CRC, 1993. — 436 p. — (Chapman & Hall/CRC Monographs on Statistics & Applied Probability 57). — ISBN10: 0412042312 ISBN13: 978-0412042317. The bootstrap is a computer-based method of statistical inference that can answer many real statistical questions without formulas. The goal of this book is to arm scientists and engineers, as well as statisticians, with...
Marcel Dekker, 1999. — 356. When the first edition of this book, Spline Smoothing and Nonparametric Regression, appeared in 1988 it joined Prakasa Rao and Muller as the books concerning nonparametric regression which were widely available at that time. In the ensuing decade the number and variety of texts has increased substantially and many wonderful books are now available on...
New York: Chapman and Hall/CRC, 1996. — 355 p. From linear regression to nonlinear regression Local modeling Bandwidth selection and model complexity Scope of the book Implementation of nonparametric techniques Further reading Nadaraya-Watson estimator Gasser-Miiller estimator Limitations of a local constant fit Local polynomial fitting and derivative estimation Local...
12 ed. — Hafner Publishing, 1954. — 370 p. Ronald A. Fisher was interested in application and in the popularization of statistical methods and his early book Statistical Methods for Research Workers, published in 1925, went through many editions and motivated and influenced the practical use of statistics in many fields of study. His Design of Experiments (1935) promoted...
Englewood Cliffs: Prentice-Hall, 1988. — 592 p. Part I of the book reformulates the entire problem of statistical spectral analysis in terms of time averages instead of the traditional but more abstract ensemble averages. Part II builds on this theory and methodology by extending and generalizing it from statistically stationary data to cyclostationary data.
Boca Raton: CRC Press, 1991. — 642 p. Sequential analysis refers to the body of statistical theory and methods where the sample size may depend in a random manner on the accumulating data. A formal theory in which optimal tests are derived for simple statistical hypotheses in such a framework was developed by Abraham Wald in the early 1940.
New York: Wiley-Blackwell, 2016. — 224 p. This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Understanding Statistical Error - A Primer for Biologists: Introduces the essential topic of error analysis to biologists Contains mathematics at a level...
New York: Collins Reference, 1993. — 230 p. — ISBN: 0-06-273102-5. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trials on "People's Court, " or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to...
London: Pearson, 2016. — 586 p. — ISBN: 978-1-292-16122-8. This book is ideal for a one-semester course in statistics, offering a streamlined presentation of Essential Statistics: Exploring the World through Data, by Gould and Ryan. We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob...
3rd Ed. — Chapman and Hall/CRC, 2016. — 423 p. — (Interdisciplinary Statistics Series). — ISBN: 978-1-4987-3177-5. Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and...
Hoboken: Wiley, 1996. — 147 p. Chi-squared testing is one of the most commonly applied statistical techniques. It provides reliable answers for researchers in a wide range of fields, including engineering, manufacturing, finance,agriculture, and medicine. A Guide to Chi-Squared Testing brings readers up to date on recent innovations and important material previously published...
Pearson Prentica Hall, 2010. — 766 p. — 7th Ed. — ISBN: 0138132631, 9780138132637. OCR layer, table of contents. More than 30 years ago when the first edition of Multivariate Data Analysis was published, we could not have imagined the applications of multivariate statistics would be as pervasive as they are today. This continued interest has contributed to the acceptance of the...
8th Edition. — Joseph F. Hair, Jr., William C. Black, Barry J. Babin, Rolph E. Anderson. — Cengage Learning EMEA, 2019. — 834 p. — ISBN: 978-1-4737-5654-0. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the...
Boca Raton: CRC Press, 2020. — 429 p. Statistical expert systems DEXPERT: an expert system for the design of experiments Inside two commercially available statistical expert systems AMIA: Aide à la Modélisation par l'Intelligence Artificielle (expert system for simulation modeling and sectoral forecasting) An architecture for knowledge-based statistical support systems...
Cambridge: Cambridge University Press, 1987. — 201 p. This book presents the human side of statistical consulting and illustrates the problems and opportunities that can arise for the modern consultant. Statistical problems occur in almost all areas of science, medicine, industry, in marketing, and finance and a wide range of interests is catered for by the twelve contributions...
Boca Raton: Chapman and Hall/CRC, 2015. — 367 p. Discover New Methods for Dealing with High-Dimensional Data A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to...
John Wiley & Sons, Inc., 2017. — 422 p. — (Wiley Series in Probability and Statistics). — ISBN: 9781119303343. In this important book, internationally acclaimed statistician, Chihiro Hirotsu, goes beyond classical analysis of variance (ANOVA) model to offer a unified theory and advanced techniques for the statistical analysis of experimental data. Dr. Hirotsu introduces the...
Springer Science+Business Media New York. 2013. — 344 p. This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve...
John Wiley, 2001. — 505 p. Independent component analysis (ICA) is a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. ICA defines a generative model for the observed multivariate data, which is typically given as a large database of samples. In the model, the data variables are assumed to be...
John Wiley and Sons, 1991. — 587 p. Principal Component Analysis (PCA) is a multivariate technique in which a number of related variables are transformed to (hopefully, a smaller) set of uncorrected variables. This book is designed for practitioners of PCA. It is, primarily, a "how-to-do-it" and secondarily a "why-it-works" book.
Singapore: World Scientific, 2006. - 345 p. This second edition contains all the important material of the first, much of it unavailable from any other sources. In addition, many chapters have been updated with considerable new material, especially in areas concerning the theory and practice of confidence intervals, including the important FeldmanCousins method. Both...
6th edition. — Pearson Prentice Hall, 2007. — 773 p. This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding...
Cham: Springer Nature Switzerland AG 2022. — 341 p. This book provides an undergraduate introduction to analyzing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical...
New York: John Wiley & Sons, 1965. — 664 p. An accessible book on sampling techniques with an emphasis on illustrations from surveys of human populations. Explains how to design and execute valid samples of moderate dimensions and difficulty, avoid selection biases and how become more adept at evaluating sample results, and judge their validity and limits of inference,...
Wiley, 2009. — 461 p. — ISBN: 978-0-470-38026-0. A modern and comprehensive treatment of tolerance intervals and regions . The topic of tolerance intervals and tolerance regions has undergone significant growth during recent years, with applications arising in various areas such as quality control, industry, and environmental monitoring. Statistical Tolerance Regions presents...
New York: Springer, 2013. — 613 p. — ISBN: 978-1-4614-6848-6, e-ISBN: 978-1-4614-6849-3 Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification...
N.-Y.: Wiley, 2015. - 824 p. Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified white box approach to data mining methods and...
Wiley – 2003, 292 p. ISBN: 0470856041, 9780470856048 Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease...
New York: Wiley, 1978. — 179 p. Offers a radically new approach to inference with nonexperimental data when the statistical model is ambiguously defined. Examines the process of model searching and its implications for inference. Identifies six different varieties of specification searches, discussing the inferential consequences of each in detail.
Springer, 2014. — 161 p. This is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply them to applicable scenarios without...
17th Edition. — New York: McGraw-Hill/Irwin, 2017. — 897 p. Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of...
N-Y.: Springer. 2014. — 490 p. Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric...
New York: John Wiley & sons, 1984. - 421 p. The increasing importance in laboratory situations of minutely precise measurements presents the chemist and physicist with numerous problems in data analysis. National Bureau of Standards statistics consultant John Mandel here draws a clear and fascinating blueprint for a systematic science of statistical analysis — geared to the...
Philadelphia: SIAM, 2002. — 277 p. This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC) based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading...
New York: Apress, 2018. — 517 p. Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust...
Wiley, 1986. — 330 p. — ISBN: 0471819220, 9780471819226 Скан. This book goes beyond specific methods in specific applications to consider the full range of techniques which can be used to solve a statistical problem. This applied text treats general topics such as one- and two-sample problems, one- and two-way classifications, regression analysis, ratios and variances. It...
New York: W. H. Freeman and Company, 2012. — 920 p. Statistics is the science of data. Exploring the Practice of Statistics (EPS) is an introductory text based on this principle. We present methods of basic statistics in away that emphasizesworkingwith data andmastering statistical reasoning. EPS is elementary inmathematical level, but conceptually rich in statistical ideas....
New York: W. H. Freeman, 2014. — 1662 p. With this updated new edition, the market-leading Introduction to the Practice of Statistics (IPS) remains unmatched in its ability to show how statisticians actually work. Its focus on data analysis and critical thinking, step-by-step pedagogy, and applications in a variety of professions and disciplines make it exceptionally engaging...
Lawrence Erlbaum Associates, 2003. — 781 p. — ISBN: 0-8058-4037-0. Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on...
N.-Y.: McGraw-Hill, 2010. — 594 p. Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that focuses on applications. The text features a unique approach accentuated by an engaging...
New York: O’Reilly Media, 2019. — 159 p. Solve the most common data engineering and analysis challenges for modern time series data. This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of...
Oxford: Oxford University Press, 2010. — 924 p. Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modeling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives...
New York: Brooks Cole, 2015. — 1192 p. Ott and Longnecker's An Introduction to Statistical Methods and Data Analysis, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in...
Thousand Oaks: SAGE, 2000. — 51 p. Trying to determine when to use a logistic regression and how to interpret the coefficients? Frustrated by the technical writing in other books on the topic? Pampel's book offers readers the first " nuts and bolts" approach to doing logistic regression through the use of careful explanations and worked out examples. Pampel first offers readers...
John Wiley & Sons Lid., 2015. — 487 p. — ISBN 978-1-118-61965-0. A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and...
New York: John Wiley & Sons, Inc., 2021. — 674 p. An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science, a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a...
NY: John Wiley & Sons, Inc., 1993. — 258 p. — ISBN: 0-471-55802-8. Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate regression, multiple regression, multiple classification analysis, path analysis, logit regression, multinomial logit regression and survival models are...
Hoboken: Wiley, 2011. — 360 p. Provides an in–depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one– and two–factor psychological experiments. With its organized and comprehensive presentation, the book...
Philadelphia: SAGE Publications, Inc., 2007. — 1219 p. This book is a comprehensive overview of the most important topics in the areas of measurement and statistics. Entries that share this important information in a way that is informative; not too technical; and even, in some cases, entertaining.
Moh.A.Sha, BoBoCoAe, 2013. — 300 p. — ISBN: 8740304930, 9788740304930. Applied Statistics has come into existence as an outcome of an experiment and wide experience of more than 40 years. Applied Statistics is intended to introduce the concepts, definitions, and terminology of the subject in an elementary presentation with minimum mathematical background which does not surpass...
New York: Wiley, 2011. - 532 p. Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a...
New York: Pearson, 2017. — 1008 p. Statistics is a powerful subject, and it is one of my passions. Bringing my passion for the subject together with my desire to create a text that would work for me, my students, and my school led me to write the frst edition of this textbook. It continues to motivate me as I reflect on changes in students, in the statistics community, and in...
Belmont: Wadsworth, 1989. — 307 p. The Joint Committee on the Curriculum in Statistics and Probability of the American Statistical Association and the National Council of Teachers of Mathematics Essays Classified by Data Sources Essays Classified by Statistical Tools Our Biologic World The biggest public health experiment ever Safety of anesthetics The Metro firm trials and...
New York: Springer, 2019. — 297 p. This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious. For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book...
NY: Wiley, 2012. — 472 p. — (Wiley Series in Probability and Statistics). — ISBN: 978-0-470-40231-3. Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data. Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and...
Routledge, 2023. — 267 p. Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyzes and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid...
Addison Wesley, 1977. — 711 p. — ISBN: 0201076160, 9780201076165. The approach in this introductory book is that of informal study of the data. Methods range from plotting picture-drawing techniques to rather elaborate numerical summaries. Several of the methods are the original creations of the author, and all can be carried out either with pencil or aided by hand-held...
N.-Y.: Springer, 2010. — 813 p. The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current...
Stockholm: University of Stockholm, 2000. — 204 p. In experimental work e.g. in physics one often encounters problems where a standard statistical probability density function is applicable. It is often of great help to be able to handle these in different ways such as calculating probability contents or generating random numbers. For these purposes there are excellent...
Philadelphia: SAGE Publications, Inc, 2020. — 577 p. Rebecca M. Warner’s best-selling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the...
3rd edition. — CRC Press, 2022. — 490 p. — ISBN: 978-1-032-01932-1. Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition...
Second Edition. — N.-Y.: Chapman and Hall/CRC, 2014. — 440 p. — ISBN: 1466560991. Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues...
Greenwood Village: Roberts and Company Publishers, 2008. — 428 p. The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers...
Basel: Birkhӓuser, 2011. — 279 p. This book was designed as a text for a first, one-semester course in statistical signal analysis for students in engineering and physical sciences. It had been developed over the last few years as lecture notes used by the author in classes mainly populated by electrical, systems, computer, and biomedical engineering juniors/seniors, and...
Boca Raton: CRC Press, 2022. — 294 p. The third-variable effect refers to the effect transmitted by third-variables that intervene in the relationship between an exposure and a response variable. Differentiating between the indirect effect of individual factors from multiple third variables is a constant problem for modern researchers. Statistical Methods for Mediation,...
Boca Raton: CRC Press, 2016. — 316 p. Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the...
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