Theory of Nonparametric Tests

Saved in:
Bibliographic Details
Main Author:
Corporate Author:
Special Collection:e-book
Format: Book
Language:English
Published: Cham : : Springer International Publishing : : Imprint: Springer,, 2018
Edition:1st ed. 2018.
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-76315-6
Tags: Add Tag
Be the first to tag this record!
LEADER nam a22 c 4500
001 000979597
005 20191107152730.0
007 cr nn 008mamaa
008 180327s2018 gw | s |||| 0|eng d
020 |a 978-3-319-76315-6 
024 7 |a 10.1007/978-3-319-76315-6  |2 doi 
040 |a Springer  |b hun  |c ELTE 
041 0 |a eng 
050 4 |a QA276-280 
082 0 4 |a 519.5  |2 23 
100 1 |a Dickhaus, Thorsten.  |e szerző  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Theory of Nonparametric Tests  |c by Thorsten Dickhaus. 
250 |a 1st ed. 2018. 
260 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018 
300 |a X, 124 p.  |b online forrás, ill. 
336 |a szöveg  |b txt  |2 rdacontent 
337 |a számítógépes  |b c  |2 rdamedia 
338 |a távoli hozzáférés  |b cr  |2 rdacarrier 
347 |a szövegfájl  |b PDF  |2 rda 
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. 
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. 
580 |a Nyomtatott kiadás: ISBN 9783319763149 
580 |a Nyomtatott kiadás: ISBN 9783319763163 
580 |a Nyomtatott kiadás: ISBN 9783030094621 
506 |a Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. 
598 |a könyv 
595 |a e-book 
650 0 |a Mathematical statistics. 
650 0 |a Statistics. 
650 1 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics for Business, Management, Economics, Finance, Insurance. 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Statistics for Social Sciences, Humanities, Law. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
653 |a elektronikus könyv 
710 2 |a SpringerLink (Online service)  |e közreadó testület 
856 4 0 |y Online változat  |u https://doi.org/10.1007/978-3-319-76315-6 
850 |a B2 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018