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Overview

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models and analysis of qualitative data. The authors emphasize the theory of conditional expectations that is also fundamental to conditional independence and conditional distributions.

Probability …

Statistics and Causality: Methods for Applied Empirical Research
#2 in Series
eBook
$115.00

Robust Correlation: Theory and Applications
Georgy L. Shevlyakov
#3 in Series
eBook
$107.50

Theory of Probability: A critical introductory treatment
Bruno de Finetti
#6 in Series
eBook
$105.99
$130.00

Applied Regression Analysis
Norman R. Draper
#326 in Series
eBook
$200.95

Statistical Intervals: A Guide for Practitioners and Researchers
#541 in Series
eBook
$89.49
$110.00

Experiments: Planning, Analysis, and Optimization
C. F. Jeff Wu
#552 in Series
eBook
$176.00

Applied Bayesian Modelling
Peter Congdon
#595 in Series
eBook
$93.00

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies
Bradley Huitema
#608 in Series
eBook
$117.99
$145.00