Relative Distribution Methods in the Social Sciences

Relative Distribution Methods in the Social Sciences

von

Morris, MartinaHandcock, Mark S.

BuchGebunden

CHF71.00

Beschreibung

A monograph that presents methods for full comparative distributional analysis based on the relative distribution. It is suitable for data analysts and those interested in measurement.

Weitere Beschreibungen

Details

ISBN/GTIN978-0-387-98778-1

ProduktartBuch

EinbandGebunden

Verlag

Springer New York

Erscheinungsdatum05.08.1999

Auflage1999

ReiheStatistics for Social and Behavioral Sciences

Seiten284 Seiten

SpracheEnglisch

MasseBreite 160 mm, Höhe 241 mm, Dicke 20 mm

Gewicht594 g

Artikel-Nr.2056477

KatalogBuchzentrum

Datenquelle-Nr.8991021

Weitere Details

Reihe

Prove It with Figures

Ordinal Data Modeling

Relative Distribution Methods in the Social Sciences

Public Policy and Statistics

Practical Considerations in Computer-Based Testing

Generalizability Theory

The Kernel Method of Test Equating

Explanatory Item Response Models

Missing Data and Small-Area Estimation

Multivariate and Mixture Distribution Rasch Models

Introduction to Variance Estimation

Bayesian Evaluation of Informative Hypotheses

Multivariate and Mixture Distribution Rasch Models

Linear Models for Optimal Test Design

Generalizability Theory

Elements of Adaptive Testing

Statistics for Lawyers

Linking and Aligning Scores and Scales

Marginal Models

Bayesian Evaluation of Informative Hypotheses

Introduction to Variance Estimation

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Living Standards Analytics

Multidimensional Item Response Theory

Explanatory Item Response Models

Elements of Adaptive Testing

Statistical Science in the Courtroom

Statistical Models for Test Equating, Scaling, and Linking

Bayesian Item Response Modeling

Missing Data

Prove It with Figures

Advances in Meta-Analysis

The Kernel Method of Test Equating

Living Standards Analytics

Missing Data and Small-Area Estimation

Statistical Modeling of the National Assessment of Educational Progress

Ordinal Data Modeling

Statistical Confidentiality

Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

Relative Distribution Methods in the Social Sciences

Autor

Morris, MartinaHandcock, Mark S.

Weitere Produkte von Morris, Martina

To

How to Take What You Do and Do it Well

How to Take What You Do and Do It Well

Network Epidemiology

Weitere Produkte von Handcock, Mark S.

Schlagworte

BIC

JHBC

THEMA Schlagwort

Sozialforschung und -statistik (JHBC)

THEMA Hauptschlagwort

Sozialforschung und -statistik (JHBC)

VLB

VLB Haupt-Lesemotiv