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Regression analysis, Arkes, Jeremy


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Цена: 18374.00р.
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Автор: Arkes, Jeremy
Название:  Regression analysis
ISBN: 9781041002604
Издательство: Taylor&Francis
Классификация:





ISBN-10: 1041002602
Обложка/Формат: Hardback
Страницы: 500
Вес: 1.13 кг.
Дата издания: 12.09.2025
Издание: 3 ed
Иллюстрации: 82 tables, black and white; 56 line drawings, color; 17 line drawings, black and white; 56 illustrations, color; 17 illustrations, black and white
Размер: 252 x 180 x 31
Подзаголовок: A practical introduction
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Поставляется из: Европейский союз


      Старое издание
How to be a multi-hyphenate in the theatre business: conversations, advice, and tips from  "dear multi-hyphenate "

Автор: Sobczak-szelc, Karolina (university Of Warsaw, Poland) Pachocka, Marta (university Of Warsaw, Poland) Pedziwiatr, Konrad (cracow University Of Economi
Название: How to be a multi-hyphenate in the theatre business: conversations, advice, and tips from "dear multi-hyphenate "
ISBN: 1032257849 ISBN-13(EAN): 9781032257846
Издательство: Taylor&Francis
Цена: 18374.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions.


Regression Analysis Study Guide,

Автор: Rudolf J. Freund
Название: Regression Analysis Study Guide,
ISBN: 0123725046 ISBN-13(EAN): 9780123725042
Издательство: Elsevier Science
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Цена: 5051.00 р.
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Описание: This Special Issue presents proceedings of the International Conference on Behavioral Health and Traumatic Brain Injury convened in October 2008 that brought together over 100 international scientists, health care professionals, policy makers, US Military personnel, and family members, addressing the issues of mild traumatic brain injury and post traumatic stress disorder in the military.

Data analysis using regression and multilevel/hierarchical models

Автор: Gelman
Название: Data analysis using regression and multilevel/hierarchical models
ISBN: 052168689X ISBN-13(EAN): 9780521686891
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

Statistical Methods in Biology: Desing and Analysis of Experiments and Regression 1st Edition, S.J.Welham, S.A. Gezan, S.J. Clark, A. Mead.- Chapman and Hall/CRC; 1 edition (August 22, 2014), 608 pages, Hardover

Название: Statistical Methods in Biology: Desing and Analysis of Experiments and Regression 1st Edition, S.J.Welham, S.A. Gezan, S.J. Clark, A. Mead.- Chapman and Hall/CRC; 1 edition (August 22, 2014), 608 pages, Hardover
ISBN: 1439808783 ISBN-13(EAN): 9781439808788
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание:

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.

Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.

By the time you reach the end of the book (and online material) you will have gained:

  • A clear appreciation of the importance of a statistical approach to the design of your experiments,
  • A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
  • Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
  • An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.

The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

Methods and Applications of Linear Models

Автор: Hocking Ronald R
Название: Methods and Applications of Linear Models
ISBN: 1118329503 ISBN-13(EAN): 9781118329504
Издательство: Wiley
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Цена: 20109.00 р.
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Описание: Praise for the Second Edition "An essential desktop reference book... it should definitely be on your bookshelf.

Handbook of Regression Analysis

Автор: Chatterjee Samprit
Название: Handbook of Regression Analysis
ISBN: 0470887168 ISBN-13(EAN): 9780470887165
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis.

Applied Regression Analysis and Generalized Linear Models

Автор: Fox John
Название: Applied Regression Analysis and Generalized Linear Models
ISBN: 1452205663 ISBN-13(EAN): 9781452205663
Издательство: Sage Publications
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Цена: 25027.00 р.
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Описание: Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Regression Modeling Strategies

Название: Regression Modeling Strategies
ISBN: 3319194240 ISBN-13(EAN): 9783319194240
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model.

Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819832 ISBN-13(EAN): 9781138819832
Издательство: Taylor&Francis
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Цена: 13014.00 р.
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Описание: Noted for its model-comparison approach and unified framework based on the general linear model (GLM), this classic text provides readers with a greater understanding of a variety of statistical procedures including analysis of variance (ANOVA) and regression.

Understanding Regression Analysis: An Introductory Guide

Автор: Schroeder Larry D., Sjoquist David L., Stephan Pau
Название: Understanding Regression Analysis: An Introductory Guide
ISBN: 1506332889 ISBN-13(EAN): 9781506332888
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style.

Solutions Manual to Accompany Modern Regression Methods 2e

Автор: Ryan
Название: Solutions Manual to Accompany Modern Regression Methods 2e
ISBN: 0470096063 ISBN-13(EAN): 9780470096062
Издательство: Wiley
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Цена: 4902.00 р.
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Описание: "Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one. " ( The American Statistician ) "The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with only basic statistics as a prerequisite.

Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Автор: O`Gorman
Название: Adaptive Tests of Significance Using Permutations of Residuals with R and SAS
ISBN: 0470922257 ISBN-13(EAN): 9780470922255
Издательство: Wiley
Рейтинг:
Цена: 20109.00 р.
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Описание: Provides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data.

Theory of Ridge Regression Estimators with Applica tions

Автор: Saleh
Название: Theory of Ridge Regression Estimators with Applica tions
ISBN: 1118644611 ISBN-13(EAN): 9781118644614
Издательство: Wiley
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Цена: 16466.00 р.
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Описание:

This book discusses current methods of estimation in linearmodels. In particular, the authors address the methodology oflinear multiple regression models that plays an important role inalmost every scientific investigations in various fields, including economics, engineering, and biostatistics. Thestandard estimation method for regression parameters is theordinary least square (OLS) principal where residual squared errorsare minimized. Applied statisticians are often not satisfied withOLS estimators when the design matrix is ill-conditioned, leadingto a multicollinearity problem and large variances that make the"prediction" inaccurate. This book details theridge regression estimator, which was developed to combat themulticollinearity problem. Another estimator, called theLiu-estimator due to Liu Kejian, is also addressed since itprovides a competing resolution to the multicollinearityproblem. The ridge regression estimators are complicatednon-linear functions of the ridge parameter, whereas, theLiu estimators are a linear function of the shrinkage parameter.With a focus on the ridge regression and LIU estimators, this bookprovides expanded coverage beyond the usual preliminary test andStein type estimator. In this case, we propose a class of compositeestimators that are obtained by multiplying the OLS, restrictedOLS, preliminary test OLS, and Stein-type OLS by the "ridgefactor" and "Liu-factor." This research is asignificant step towards the study of dominance properties as wellas the comparison of the extent of LASSO properties. In addition, research materials involving shrinkage and model selection forlinear regression models are provided. Topical coverageincludes: preliminaries; linear regression models; multipleregression models; measurement error models; generalized linearmodels; and autoregressive Gaussian processes.


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