Advanced Statistics: Description of Populations

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Advanced Statistics provides a rigorous development of statistics that emphasizes the definition and study of numerical measures that describe population variables. Volume 1 studies properties of commonly used descriptive measures. Volume 2 considers use of sampling from populations to draw inferences concerning properties of populations. The volumes are intended for use by graduate students in statistics and professional statisticians, although no specific prior knowledge of statistics is assumed. The rigorous treatment of statistical concepts requires that the reader be familiar with mathematical analysis and linear algebra, so that open sets, continuous functions, differentials, Raman integrals, matrices, and vectors are familiar terms.

Author(s): Shelby J. Haberman (auth.)
Series: Springer Series in Statistics
Edition: 1
Publisher: Springer-Verlag New York
Year: 1996

Language: English
Pages: 490
Tags: Probability Theory and Stochastic Processes

Front Matter....Pages i-xvii
Populations, Measurements, and Parameters....Pages 1-86
Expectations and Daniell Integrals....Pages 87-125
Random Variables and Measurable Functions....Pages 127-198
Construction of Daniell Integrals....Pages 199-263
Least Squares....Pages 265-323
Independence and Dependence....Pages 325-366
Quantiles....Pages 367-404
Moments....Pages 405-467
Back Matter....Pages 469-490