Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences) by J Scott Long
Understanding Regression Analysis - Quantitative Application In The Social Sciences
Testbank For Quality Management in the Imaging Sciences 4th Edition by Papp
Links Group of Companies Specializes in Business Setup Services for Corporates and Individuals Looking to Establish their Business in the UAE and QATAR
The exploring nature of definitions and classifications of Language Learning Strategies (LLSs) in the current studies of second/foreign language learning
Systematic review and meta-analysis of chewing-gum therapy in the reduction of postoperative paralytic ileus following gastrointestinal surgery
EVALUATION OF PHYSICO - CHEMICAL PARAMETERS AND MICROBIOLOGICAL POPULATIONS OF CAUVERY RIVER WATER IN THE PALLIPALAYAM REGION OF TAMILNADU, INDIA
What You Must Learn About Legal Highs and How it Gets Party Powders Sellable in the Market?
Asana Andiappan Yoga Centre in Chennai was founded by Guruji Dr. Asana Andiappan who is a pioneer in Yoga ashram in India , Yoga teacher training India , Yoga centres in India, yoga Therapy and Research with over 50years of Experience in the field of Yoga
Reference-dependent preferences and loss aversion: A discrete choice experiment in the health-care sector
A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible.
Use coupon below to get discount at eCampus.com!
$3 off textbook orders over $75
$4 off textbook orders over $90
$5 off textbook orders over $100
Copy the coupon code before clicking the button!
|Amazon US||Paperback||$75.18 - $141.00|
Modern Methods for Robust Regression offers a brief but in-depth treatment of various methods for detecting and properly handling influential cases in regression analysis. This volume, ...
The potentially lively intellectual environment surrounding diffusion models has been restricted by the language and notation employed in different fields. It's a topic which begs for a sound ...
Clustering and tree models are being widely used in the social and biological sciences to analyze similarity relations. This volume describes how matrices of similarities or associations among ...
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions ...
It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher ...
This excellent introduction to stochastic parameter regression models is more advanced and technically difficult than other papers in this series. These models allow relationships to vary through ...
This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and ...
With Regression Diagnostics, researchers now have an accessible explanation of the techniques needed for exploring problems that compromise a regression analysis and for determining whether ...
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating the assumptions of the ...
Item response theory (IRT) is a latent variable modeling approach used to minimize bias and optimize the measurement power of educational and psychological tests and other ...