Handbook of the Logistic Distribution, Balakrishnan, N.

Автор: Balakrishnan, N.
Название: Handbook of the Logistic Distribution
ISBN: 0367450453 ISBN-13(EAN): 9780367450458
Издательство: Taylor&Francis
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Цена: 63280.00 T
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Описание: This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and describes univariate and multivariate generalizations of the distribution. It is useful for researchers, practicing statisticians, and graduate students.

Автор: Hooshang Nayebi
Название: Advanced Statistics for Testing Assumed Causal Relationships
ISBN: 3030547531 ISBN-13(EAN): 9783030547530
Издательство: Springer
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Цена: 74530.00 T
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Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Автор: Allison Paul D.
Название: Logistic Regression Using SAS: Theory and Application, Second Edition
ISBN: 1635269091 ISBN-13(EAN): 9781635269093
Издательство: Неизвестно
Цена: 112740.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Several real-world examples are included in full detail. This book also explains the differences and similarities among the many generalizations of the logistic regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second edition describes many new features of PROC LOGISTIC, including conditional logistic regression, exact logistic regression, generalized logit models, ROC curves, the ODDSRATIO statement (for analyzing interactions), and the EFFECTPLOT statement (for graphing nonlinear effects). Also new is coverage of PROC SURVEYLOGISTIC (for complex samples), PROC GLIMMIX (for generalized linear mixed models), PROC QLIM (for selection models and heterogeneous logit models), and PROC MDC (for advanced discrete choice models).

This book is part of the SAS Press program.

Автор: Eric Vittinghoff; David V. Glidden; Stephen C. Shi
Название: Regression Methods in Biostatistics
ISBN: 1489998543 ISBN-13(EAN): 9781489998545
Издательство: Springer
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Цена: 79190.00 T
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Описание: This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.

Автор: Werner Vach
Название: Logistic Regression with Missing Values in the Covariates
ISBN: 0387942637 ISBN-13(EAN): 9780387942636
Издательство: Springer
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Цена: 107130.00 T
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Описание: The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness.

Название: Regression Modeling Strategies
ISBN: 3319194240 ISBN-13(EAN): 9783319194240
Издательство: Springer
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Цена: 83850.00 T
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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.

Автор: David W. Hosmer Jr.,Stanley Lemeshow,Rodney X. Stu
Название: Applied Logistic Regression
ISBN: 0470582472 ISBN-13(EAN): 9780470582473
Издательство: Wiley
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Цена: 126670.00 T
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Описание: This new edition provides a focused introduction to the LR model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariables.

Автор: David G. Kleinbaum; Mitchel Klein
Название: Logistic Regression
ISBN: 1493936972 ISBN-13(EAN): 9781493936977
Издательство: Springer
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Цена: 83810.00 T
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Описание: This highly readable book describes fundamental and advanced concepts and methods of logistic regression. The 3rd edition includes three new chapters, an updated computer appendix, and an expanded section on modeling guidelines that consider causal diagrams.

Автор: Hilbe
Название: Logistic Regression Models
ISBN: 1138106712 ISBN-13(EAN): 9781138106710
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Описание:

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models to health, environmental, physical, and social science data.

Examples illustrate successful modeling
The text first provides basic terminology and concepts, before explaining the foremost methods of estimation (maximum likelihood and IRLS) appropriate for logistic models. It then presents an in-depth discussion of related terminology and examines logistic regression model development and interpretation of the results. After focusing on the construction and interpretation of various interactions, the author evaluates assumptions and goodness-of-fit tests that can be used for model assessment. He also covers binomial logistic regression, varieties of overdispersion, and a number of extensions to the basic binary and binomial logistic model. Both real and simulated data are used to explain and test the concepts involved. The appendices give an overview of marginal effects and discrete change as well as a 30-page tutorial on using Stata commands related to the examples used in the text. Stata is used for most examples while R is provided at the end of the chapters to replicate examples in the text.

Apply the models to your own data
Data files for examples and questions used in the text as well as code for user-authored commands are provided on the book's website, formatted in Stata, R, Excel, SAS, SPSS, and Limdep.

See Professor Hilbe discuss the book.

Автор: Hilbe, Joseph M.
Название: Practical Guide to Logistic Regression
ISBN: 1498709575 ISBN-13(EAN): 9781498709576
Издательство: Taylor&Francis
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Цена: 51030.00 T
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Автор: Nayebi Hooshang
Название: Advanced Statistics for Testing Assumed Causal Relationships: Multiple Regression Analysis Path Analysis Logistic Regression Analysis
ISBN: 3030547566 ISBN-13(EAN): 9783030547561
Издательство: Springer
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

Автор: Hilbe, Joseph M.
Название: Logistic Regression Models
ISBN: 1420075756 ISBN-13(EAN): 9781420075755
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.