Author : Audrey Helen Mariz de Aquino Cysneiros
Publisher :
Page : 12 pages
File Size : 29,21 MB
Release : 2005
Category :
ISBN :
Author : A. H. A. Cyneiros
Publisher :
Page : 12 pages
File Size : 46,97 MB
Release : 2005
Category :
ISBN :
Introduction; The model and tests for varying dispersion; Bartlett correction; Simulation results; Concluding remarks.
Author : Bent Jorgensen
Publisher : CRC Press
Page : 264 pages
File Size : 10,85 MB
Release : 1997-06-01
Category : Mathematics
ISBN : 9780412997112
The theory of dispersion models straddles both statistics and probability, and involves an encyclopedic collection of tools, such as exponential families, asymptotic theory, stochastic processes, Tauber theory, infinite divisibility, and stable distributions. The Theory of Dispersion Models introduces the reader to these models, which serve as error distributions for generalized linear models, and looks at their applications within this context.
Author : Gauss M. Cordeiro
Publisher : Springer Science & Business Media
Page : 113 pages
File Size : 13,13 MB
Release : 2014-05-08
Category : Mathematics
ISBN : 3642552552
This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present alternative strategies for improving estimators and tests based on bootstrap, a data resampling technique and discuss concrete applications to several important statistical models.
Author : Max Petzold
Publisher :
Page : 124 pages
File Size : 40,3 MB
Release : 2003
Category : Mathematics
ISBN :
"This is a Ph.D. dissertation. Longitudinal analysis is important when individual effects are present. In this thesis some methods for different kinds of inference on longitudinal data are derived and evaluated in small sample settings. Appropriate evaluation criteria are determined from the actual inferential situation. It is based on three papers: ""Maximum Likelihood Ratio Based Small-Sample Tests for Random Coefficients in Linear Regression"", ""Preliminary Testing in a Class of Simple Non-Linear Mixed Models to Improve Estimation Accuracy"" and ""Detection of Intra-Uterine Growth Restriction""."
Author :
Publisher :
Page : 780 pages
File Size : 12,10 MB
Release : 1998
Category : Statistics
ISBN :
Author : Bo-Cheng Wei
Publisher :
Page : 248 pages
File Size : 42,24 MB
Release : 1998-09
Category : Mathematics
ISBN :
This book gives a comprehensive introduction to exponential family nonlinear models, which are the natural extension of generalized linear models and normal nonlinear regression models. The differential geometric framework is presented for these models and geometric methods are widely used in this book. This book is ideally suited for researchers in statistical interfaces and graduate students with a basic knowledge of statistics.
Author : Gauss Moutinho Cordeiro
Publisher :
Page : pages
File Size : 42,77 MB
Release : 1982
Category :
ISBN :
Author : Lawrence D. Brown
Publisher : IMS
Page : 302 pages
File Size : 25,40 MB
Release : 1986
Category : Business & Economics
ISBN : 9780940600102
Author : Luiz Paulo Favero
Publisher : Academic Press
Page : 1246 pages
File Size : 12,98 MB
Release : 2019-04-11
Category : Business & Economics
ISBN : 0128112174
Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs
