Nonparametric Tests for Complete Data

Vilijandas Bagdonavicius

ISBN 10: 1848212690 / ISBN 13: 9781848212695

Published by ISTE Ltd and John Wiley & Sons Inc, 2011

About this Item

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. Num Pages: 326 pages. BIC Classification: PBK. Category: (P) Professional & Vocational. Dimension: 234 x 163 x 25. Weight in Grams: 628. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9781848212695

Bibliographic Details

• Title: Nonparametric Tests for Complete Data
• Publisher: ISTE Ltd and John Wiley & Sons Inc
• Publication Date: 2011
• Language: English
• ISBN 10: 1848212690
• ISBN 13: 9781848212695
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.

About the Author

Vilijandas Bagdonavicius is Professor of Mathematics at the University of Vilnius in Lithuania. His main research areas are statistics, reliability and survival analysis.

Julius Kruopis is Associate Professor of Mathematics at the University of Vilnius in Lithuania. His main research areas are statistics and quality control.

Mikhail S. Nikulin is a member of the Institute of Mathematics in Bordeaux, France.