Cantitate/Preț
Produs
Total produse
Vezi coșul
Generalized Linear Models for Bounded and Limited Quantitative Variables de Michael Smithson

Generalized Linear Models for Bounded and Limited Quantitative Variables: Quantitative Applications in the Social Sciences, cartea 181

Autor Michael Smithson, Yiyun Shou
en Limba Engleză Paperback – 3 dec 2019
The book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.
Citește tot Restrânge

Din seria Quantitative Applications in the Social Sciences

  • Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
    Preț: 30608 lei
  • Data Analysis: An Introduction
    Preț: 25869 lei
  • Causal Analysis with Panel Data
    Preț: 27025 lei
  • Missing Data
    Preț: 25978 lei
  • Confidence Intervals
    Preț: 27029 lei
  • Multilevel Modeling
    Preț: 28755 lei
  • Agent-Based Models
    Preț: 29685 lei
  • Social Network Analysis
    Preț: 28865 lei
  • A Mathematical Primer for Social Statistics
    Preț: 28918 lei
  • Reliability and Validity Assessment
    Preț: 25921 lei
  • An Introduction to Exponential Random Graph Modeling
    Preț: 26107 lei
  • Factorial Survey Experiments
    Preț: 26288 lei
  • Multilevel Structural Equation Modeling
    Preț: 28809 lei
  • Gathering Social Network Data
    Preț: 28836 lei
  • Exploratory Factor Analysis
    Preț: 28809 lei
  • Multidimensional Item Response Theory
    Preț: 28755 lei
  • Argument-Based Validation in Testing and Assessment
    Preț: 28833 lei
  • Using Time Series to Analyze Long-Range Fractal Patterns
    Preț: 28755 lei
  • Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences
    Preț: 28809 lei
  • Analyzing Textual Information: From Words to Meanings through Numbers
    Preț: 28865 lei
  • Confirmatory Factor Analysis
    Preț: 28783 lei
  • Sequence Analysis
    Preț: 28918 lei
  • Applied Bayesian Statistics
    Preț: 28939 lei
  • Longitudinal Network Models
    Preț: 28845 lei
  • Exploring Rating Scale Functioning for Survey Research
    Preț: 28945 lei
  • Introduction to Survey Sampling
    Preț: 28865 lei
  • Models for Innovation Diffusion
    Preț: 26991 lei
  • Analysis of Variance
    Preț: 27408 lei
  • Ecological Inference
    Preț: 27261 lei
  • Multivariate Tests for Time Series Models
    Preț: 27445 lei
  • Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models
    Preț: 27389 lei
  • Typologies and Taxonomies: An Introduction to Classification Techniques
    Preț: 27501 lei
  • Multiple Attribute Decision Making: An Introduction
    Preț: 27336 lei
  • Applied Logistic Regression Analysis
    Preț: 27535 lei
  • Chaos and Catastrophe Theories
    Preț: 27301 lei
  • Basic Math for Social Scientists: Concepts
    Preț: 27282 lei
  • Multidimensional Scaling
    Preț: 27408 lei
  • Calculus
    Preț: 27372 lei
  • Regression Models: Censored, Sample Selected, or Truncated Data
    Preț: 27336 lei
  • Tree Models of Similarity and Association
    Preț: 27280 lei
  • Computational Modeling
    Preț: 27466 lei
  • LISREL Approaches to Interaction Effects in Multiple Regression
    Preț: 27482 lei
  • Analyzing Repeated Surveys
    Preț: 27317 lei
  • Monte Carlo Simulation
    Preț: 27318 lei
  • Statistical Graphics for Univariate and Bivariate Data
    Preț: 27482 lei
  • Interaction Effects in Factorial Analysis of Variance
    Preț: 27482 lei
  • Odds Ratios in the Analysis of Contingency Tables
    Preț: 27353 lei

Preț: 28783 lei

Nou

Puncte Express: 432
Preț estimativ în valută:
5510€ • 5983$ • 4634£

Carte disponibilă

Livrare economică 23 noiembrie-07 decembrie
Livrare express 12-16 noiembrie pentru 2222 lei

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781544334530
ISBN-10: 1544334532
Pagini: 136
Dimensiuni: 140 x 216 x 12 mm
Greutate: 0.16 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Recenzii

This book provides a thorough and accessible look at an important class of statistical models. It communicates intuition well and shows through numerous examples that understanding how to analyze bounded outcome variables is useful for applied researchers.
The authors are leaders in the world-wide effort to extend and tailor the generalized linear model to variables that are bounded and not normally distributed. The discussion of models for data recorded as proportions is worth the price of admission.

Cuprins

1. Introduction and Overview
Overview of this Book
The Nature of Bounds on Variables
The Generalized Linear Model
Examples
2. Models for Singly-Bounded Variables
GLMs for singly-bounded variables
Model Diagnostics
Treatment of Boundary Cases
3. Models for Doubly-Bounded Variables
Doubly-Bounded Variables and \Natural" Heteroskedasticity
The Beta Distribution: Definition and Properties
Modeling Location and Dispersion
Estimation and Model Diagnostics
Treatment of Cases at the Boundaries
4. Quantile Models for Bounded Variables
Introduction
Quantile regression
Distributions for Doubly-Bounded Variables with Explicit Quantile Functions
The CDF-Quantile GLM
5. Censored and Truncated Variables
Types of censoring and truncation
Tobit models
Tobit Model Example
Heteroskedastic and Non-Gaussian Tobit Models
6. Extensions and Conclusions
Extensions and a General Framework
Absolute Bounds and Censoring
Multi-Level and Multivariate Models
Bayesian Estimation and Modeling
Roads Less Traveled and the State of the Art
References

Notă biografică

Michael Smithson is a Professor in the Research School of Psychology at The Australian National University in Canberra, and received his PhD from the University of Oregon. He is the author of Confidence Intervals (2003), Statistics with Confidence (2000), Ignorance and Uncertainty (1989), and Fuzzy Set Analysis for the Behavioral and Social Sciences (1987), co-author of Fuzzy Set Theory: Applications in the Social Sciences (2006) and Generalized Linear Models for Categorical and Limited Dependent Variables (2014), and co-editor of Uncertainty and Risk: Multidisciplinary Perspectives (2008) and Resolving Social Dilemmas: Dynamic, Structural, and Intergroup Aspects (1999). His other publications include more than 170 refereed journal articles and book chapters. His primary research interests are in judgment and decision making under ignorance and uncertainty, statistical methods for the social sciences, and applications of fuzzy set theory to the social sciences.


Descriere

The book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.