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Generalized, linear, and mixed models
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Charles E McCulloch |
Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into th… |
OL12004745W |
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Dynamic Linear Models with R
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Patrizia Campagnoli |
State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space model… |
OL16925703W |
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Statistical models and causal inference
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David Freedman |
"David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating b… |
OL16928555W |
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Growth curve models and statistical diagnostics
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Jian-Xin Pan,Kai-Tai Fang |
"This book provides a comprehensive introduction to the theory of growth curve models with an emphasis on statistical diagnostics. A variety of issues relating to model development, estimation, infer… |
OL18639065W |
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Multivariate statistical modelling based on generalized linear models
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Ludwig Fahrmeir,Gerhard Tutz |
"The authors give a detailed introductory survey of the subject based on the analysis of real data drawn from a variety of subjects, including the biological sciences, economics, and the social scien… |
OL18738882W |
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Linear Regression Analysis
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John P. Hoffmann,Kevin Shafer |
Linear Regression Analysis: Assumptions and Applications is designed to provide students with a straightforward introduction to a commonly used statistical model that is appropriate for making sense … |
OL19636269W |
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Statistical Modeling, Linear Regression and ANOVA
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Hamid Ismail |
Statistical modeling is a branch of advanced statistics and a critical component of many applications in science and business. This book is an attempt to satisfy the need of mathematical statistician… |
OL23612893W |
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Modelling survival data in medical research
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D. Collett |
Provides an outstanding text for upper-level and graduate courses in survival analysis, biostatistics, and time-to-event analysis. This edition features a more detailed treatment of topics such as pa… |
OL3603423W |
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A course in linear models
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Anant M. Kshirsagar |
This book would serve as a suitable text for a course in linear models. The Kshirsagar book is specifically designed for a one-semester course, and one would have to move quickly to cover every- thin… |
OL3747339W |
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Sample size choice
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Robert E. Odeh |
A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) … |
OL4097717W |
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Nonparametric methods in general linear models
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Madan Lal Puri |
Presents a systematic account of the theory of rank order statistics as applied to the problems of general linear models. Offers a unified approach to general multivariate linear models with an empha… |
OL4452505W |
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Prior information in linear models
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Helge Toutenburg |
ix, 215 pages : 24 cm |
OL4715076W |
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Statistical modelling with GLIM 4
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Murray A. Aitkin |
"This text examines the theory of statistical modelling with generalised linear models. It also looks at applications of the theory to practical problems, using the GLIM4 package"--Provided by publis… |
OL5720152W |
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Survey of Statistical Design and Linear Models
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Jagdish N Srivastava |
Designs and estimators for variance components. Combined intra- and inter block estimation of tretment effects incomplete block designs. Updating methods for linear models for the addition or deletio… |
OL8389370W |