Theory of Nonparametric Tests

This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a...

Full description

Saved in:
Bibliographic Details
Main Author: Dickhaus, Thorsten (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing, 2018.
Edition:1st ed. 2018.
Subjects:
ISBN:9783319763156
Online Access: Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a22000005i 4500
003 SK-BrCVT
005 20220618102801.0
007 cr nn 008mamaa
008 180327s2018 gw | s |||| 0|eng d
020 |a 9783319763156 
024 7 |a 10.1007/978-3-319-76315-6  |2 doi 
035 |a CVTIDW14712 
040 |a Springer-Nature  |b eng  |c CVTISR  |e AACR2 
041 |a eng 
100 1 |a Dickhaus, Thorsten.  |4 aut 
245 1 0 |a Theory of Nonparametric Tests  |h [electronic resource] /  |c by Thorsten Dickhaus. 
250 |a 1st ed. 2018. 
260 1 |a Cham :  |b Springer International Publishing,  |c 2018. 
300 |a X, 124 p. 3 illus., 1 illus. in color.  |b online resource. 
500 |a Mathematics and Statistics  
505 0 |a Introduction and Examples -- Empirical Measure, Empirical Processes -- Goodness-of-fit Tests -- Rank Tests -- Asymptotics of Linear Resampling Statistics -- Bootstrap Methods for Linear Models -- Projection Tests -- Some Extensions. 
516 |a text file PDF 
520 |a This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses. 
650 0 |a Statistics . 
856 4 0 |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-76315-6  |y Vzdialený prístup pre registrovaných používateľov 
910 |b ZE11992 
919 |a 978-3-319-76315-6 
974 |a andrea.lebedova  |f Elektronické zdroje 
992 |a SUD 
999 |c 242525  |d 242525