---

＜電子ブック＞
Advanced Statistics : Description of Populations / by Shelby J. Haberman
(Springer Series in Statistics. ISSN:2197568X)

版	1st ed. 1996.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1996
本文言語	英語
大きさ	XVIII, 490 p : online resource
著者標目	*Haberman, Shelby J author SpringerLink (Online service)
件　名	LCSH:Probabilities FREE:Probability Theory
一般注記	1 Populations, Measurements, and Parameters -- 2 Expectations and Daniell Integrals -- 3 Random Variables and Measurable Functions -- 4 Construction of Daniell Integrals -- 5 Least Squares -- 6 Independence and Dependence -- 7 Quantiles -- 8 Moments 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 HTTP:URL=https://doi.org/10.1007/978-1-4757-4417-0

 類似資料