selection models for nonignorable missing data online kopen

Ben je op zoek naar selection models for nonignorable missing data? Bekijk onze boeken selectie en zie direct bij welke webshop je selection models for nonignorable missing data online kan kopen. Ga je voor een ebook of paperback van selection models for nonignorable missing data. Zoek ook naar accesoires voor selection models for nonignorable missing data. Zo ben je er helemaal klaar voor. Ontdek ook andere producten en koop vandaag nog je selection models for nonignorable missing data met korting of in de aanbieding. Alles voor veel leesplezier!

Selection Models for Nonignorable Missing Data

models for nonignorable missing data. The theory of selection models is described and illustrated by examples. Maximum Likelihood as well as;

Vergelijkbare producten zoals Selection Models for Nonignorable Missing Data

Missing Data in Longitudinal Studies

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for;

Vergelijkbare producten zoals Missing Data in Longitudinal Studies

Missing Data Methods

Volume 27 of Advances in Econometrics , entitled Missing Data Methods , contains 16 chapters authored by specialists in the field;

Vergelijkbare producten zoals Missing Data Methods

Missing Data Methods

Volume 27 of Advances in Econometrics , entitled Missing Data Methods , contains 16 chapters authored by specialists in the field;

Vergelijkbare producten zoals Missing Data Methods

Statistical Methods for Handling Incomplete Data

in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and;

Vergelijkbare producten zoals Statistical Methods for Handling Incomplete Data

Deep Learning and Missing Data in Engineering Systems

Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation;

Vergelijkbare producten zoals Deep Learning and Missing Data in Engineering Systems

Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

Vergelijkbare producten zoals Mixed Effects Models for Complex Data

Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

Vergelijkbare producten zoals Mixed Effects Models for Complex Data

Linear Models with Python

Selection, Shrinkage, Experiments with Blocks and Missing Data. Includes an Appendix on Python for beginners.;

Vergelijkbare producten zoals Linear Models with Python

Longitudinal Structural Equation Modeling with Mplus

- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data;

Vergelijkbare producten zoals Longitudinal Structural Equation Modeling with Mplus

Statistical Analysis with Missing Data

methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple;

Vergelijkbare producten zoals Statistical Analysis with Missing Data

Semiparametric Theory and Missing Data

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and;

Vergelijkbare producten zoals Semiparametric Theory and Missing Data

Handling Missing Data in Ranked Set Sampling

The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example;

Vergelijkbare producten zoals Handling Missing Data in Ranked Set Sampling

Multiple Imputation For Nonresponse In Surveys

Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple;

Vergelijkbare producten zoals Multiple Imputation For Nonresponse In Surveys

Advanced R Statistical Programming and Data Models

including parallel processing, dimension reduction, and feature selection and classification Address missing data using multiple imputation in R;

Vergelijkbare producten zoals Advanced R Statistical Programming and Data Models

Missing-Data Methods

methods. All the papers either derive, survey, or evaluate new methods for handling missing-data problems. Per the current interest;

Vergelijkbare producten zoals Missing-Data Methods

Bayesian Missing Data Problems

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through;

Vergelijkbare producten zoals Bayesian Missing Data Problems

Bayesian Missing Data Problems

Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through;

Vergelijkbare producten zoals Bayesian Missing Data Problems

Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;

Vergelijkbare producten zoals Methods and Applications of Longitudinal Data Analysis

Computational Reconstruction of Missing Data in Biological Research

data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data;

Vergelijkbare producten zoals Computational Reconstruction of Missing Data in Biological Research

A First Course in Linear Model Theory

selection, and missing data. A new chapter on generalized linear models (Chapter 12). A new section on multivariate linear models in Chapter 13;

Vergelijkbare producten zoals A First Course in Linear Model Theory

Applied Survival Analysis

Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical;

Vergelijkbare producten zoals Applied Survival Analysis

Analysis Of Longitudinal Data

, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are;

Vergelijkbare producten zoals Analysis Of Longitudinal Data

Multiple Imputation of Missing Data in Practice

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple;

Vergelijkbare producten zoals Multiple Imputation of Missing Data in Practice

Model Selection and Multimodel Inference

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book;

Vergelijkbare producten zoals Model Selection and Multimodel Inference

Model Selection and Multimodel Inference

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book;

Vergelijkbare producten zoals Model Selection and Multimodel Inference

Linear Mixed Models for Longitudinal Data

residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data;

Vergelijkbare producten zoals Linear Mixed Models for Longitudinal Data