Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences) by J Scott Long
Adaptations For Survival (29 Jun)
ARIMA: ARIMA Models for Time Series Data
Data Structures for Spatial Data Mining
Mining Wikipedia For Awesome Data
A Dynamic MAC Protocol for WCDMA Wireless Multimedia Networks
the pandemic models for flu / influenza, ten of them
THE PREDICTIVE MODELS FOR ACTUARIES IN CASUALTY, LIFE, HEALTH
p-hub protection models for reliable hub and spoke network design
Life Cycle Models for High-Technology Projects
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This book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of ...
This revised edition illustrates the statistical analysis of data using computer programs in SAS, a widely used software package in the health sciences. Many numerical examples are provided to ...
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no ...
What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an ...
A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century. Recently, new developments ...
Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a ...
The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random ...
One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins ...
Creating Dynamic Radar Models for Large-scale Simulations
Regression Analysis of Survival Data in Cancer Chemotherapy