Listing 1 - 10 of 139 | << page >> |
Sort by
|
Choose an application
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using line
Regression analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Regression Analysis
Choose an application
Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data fr
Social sciences --- Regression analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Statistical methods.
Choose an application
Choose an application
Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Regression analysis. --- Robust statistics. --- Statistics, Robust --- Distribution (Probability theory) --- Mathematical statistics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling
Choose an application
"Spatial Regression Analysis Using Eigenvector Spatial Filtering provides both theoretical foundations and guidance on practical implementation for the eigenvector spatial filtering (ESF) technique. ESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in georeferenced data analyses. With its flexible structure, ESF can be easily applied to generalized linear regression models. The book discusses ESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, and spatial interaction models. In addition, it provides a tutorial for ESF model specification and interfaces, including author developed, user-friendly software"--
Spatial analysis (Statistics) --- Regression analysis. --- Eigenvectors. --- Matrices --- Vector spaces --- Eigenfactor --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems
Choose an application
Das Buch vereinigt die zahlreichen Ansätze zur Erklärung einer Menge von Variablen mittels einer anderen Variablenmenge. Die Ansätze werden in ihren Grundstrukturen dargestellt. Die Beschränkung darauf ist notwendig, gibt es doch zu jeder der vorgestellten Methoden eigene Monographien. Auf diese Spezialliteratur wird für weitergehende Aspekte verwiesen. Die zahlreichen Beispiele werden mit der freien statistischen Programmierumgebung R durchgerechnet; dazu wird der R-Code angegeben. Die überwältigende Anzahl von Funktionen in R erlaubt es, die Vielfalt der hier besprochenen Methoden mit R allein und ohne Programmierung umzusetzen. So sind nicht zu komplexe Auswertungen auf der Basis dieses Textes leicht möglich.
Choose an application
Statistical methods --- Data analysis --- Regression analysis. --- Regression analysis --- regressie-analyse --- waarschijnlijkheidsleer --- wiskundige statistiek --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling
Choose an application
Nonlinear theories. --- Regression analysis. --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Nonlinear problems --- Nonlinearity (Mathematics) --- Calculus --- Mathematical analysis --- Mathematical physics
Choose an application
Regression analysis. --- Social sciences --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Statistical methods. --- Methods in social research (general)
Choose an application
Regression analysis. --- Mathematical analysis. --- 517.1 Mathematical analysis --- Mathematical analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling
Listing 1 - 10 of 139 | << page >> |
Sort by
|