Applied Linear Statistical Models with Student CD, Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models ISBN: 0072386886 ISBN-13(EAN): 9780072386882 Издательство: McGraw-Hill Цена: 14526 р. Наличие на складе: Невозможна поставка.
Автор: Christopher J. Nachtsheim, John Neter, William Li Название: Applied Linear Statistical Models ISBN: 1259064743 ISBN-13(EAN): 9781259064746 Издательство: McGraw-Hill Цена: р. Наличие на складе: Невозможна поставка.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Kutner Название: Applied linear statistical models ISBN: 007310874X ISBN-13(EAN): 9780073108742 Издательство: McGraw-Hill Цена: 12330 р. Наличие на складе: Поставка под заказ.
Описание: "Applied Linear Statistical Models, 5e" is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
Описание: Thoroughly updated and more straightforward than ever, "Applied Linear Regression Models" includes the latest statistics, developments, and methods in multicategory logistic regression; expanded treatment of diagnostics for logistic regression; a more powerful Levene test; and more. Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.
Описание: This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.
Описание: The authors here present statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making. They provide basic statistical background as well as in-depth applications.
Описание: This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models. It provides computational and coding details on the use of R that textbooks do not. Topics covered include simple and multiple linear regression models, models for one- and two-factor fixed-effects designs, covariance models, and models for randomized complete block designs. The text can serve as both a course supplement and a fairly detailed self-help resource. The development of "grass-roots" code alongside demonstrations of pre-packaged routines provides users with illustrations on how to develop their own programs with R.
Описание: This book presents a thorough examination of generalized linear model (GLM) estimation methods as well as the derivation of all major GLM families. Examined families include Gaussian, gamma, inverse Gaussian, binomial, Poisson, geometric, and negative binomial. The text also contains various models that have been developed on the basis of GLM theory, including GAM, ordered binomial models, multinomial logit and probit models, GEE and other quasi-likelihood models, fixed and random effects models, and random intercept and random parameter models. Using Stata, the book offers numerous examples to assist you in applying the models to your own data situations.
Описание: Presenting methods for fitting generalized linear models (GLMs) with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including meta-analysis of combining information over trials, analysis of frailty models for survival data, and analysis of spatial models with correlated errors. Punctuated by real examples from medicine, epidemiology, agriculture, and more, the book includes background material on likelihood inference and GLMs as well as topics such as frailty models. It computes methods using Genstat, with datasets and software available on CD and online, making it easy to test alternative analyses.
Автор: West Название: Linear Mixed Models ISBN: 1466560991 ISBN-13(EAN): 9781466560994 Издательство: Taylor&Francis Рейтинг: Цена: 7941 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 to lead readers step by step through the process of fitting LMMs. This second edition covers additional topics on the application of LMMs that are valuable for data analysts in all fields. It also updates the case studies using the latest versions of the software procedures and provides up-to-date information on the options and features of the software procedures available for fitting LMMs in SAS, SPSS, Stata, R/S-plus, and HLM. New to the Second Edition A new chapter on models with crossed random effects that uses a case study to illustrate software procedures capable of fitting these models Power analysis methods for longitudinal and clustered study designs, including software options for power analyses and suggested approaches to writing simulations Use of the lmer() function in the lme4 R package New sections on fitting LMMs to complex sample survey data and Bayesian approaches to making inferences based on LMMs Updated graphical procedures in the software packages Substantially revised index to enable more efficient reading and easier location of material on selected topics or software options More practical recommendations on using the software for analysis A new R package (WWGbook) that contains all of the data sets used in the examples Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.
Описание: Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems. The emphasis is methodological rather than theoretical, and the authors concentrate on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students.
Автор: Stapleton Название: Linear Statistical Models 2e ISBN: 0470231467 ISBN-13(EAN): 9780470231463 Издательство: Wiley Рейтинг: Цена: 12331 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an approach to a number of statistical model concepts that are linear in the unknown parameters and include a random error term. This book follows an introduction-theorem-proof-examples format that allows for easier comprehension of how to use the methods and also how to recognize the associated assumptions and limits.
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