Cantitate/Preț
Produs
Total produse
Vezi coșul
Data Driven Statistical Methods de Peter Sprent

Data Driven Statistical Methods: Chapman & Hall/CRC Texts in Statistical Science

Autor Peter Sprent
en Limba Engleză Hardback – dec 1997
Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers wishing to incorporate some of its features into more general courses, and also as a self-instruction manual for applied statisticians seeking a simple introduction to many important practical concepts that use the 'data driven' rather than the 'model driven' approach.
Citește tot Restrânge

Din seria Chapman & Hall/CRC Texts in Statistical Science

Preț: 120366 lei

Preț vechi: 146788 lei
-18%

Puncte Express: 1805
Preț estimativ în valută:
21273€ • 25028$ • 18570£

Carte tipărită la comandă

Livrare economică 06-20 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9780412795404
ISBN-10: 041279540X
Pagini: 416
Dimensiuni: 156 x 234 x 25 mm
Greutate: 0.66 kg
Ediția:1
Editura: CRC Press
Colecția Routledge
Seria Chapman & Hall/CRC Texts in Statistical Science

Public țintă

Professional

Recenzii

"This scholarly book brings together a vast literature on methods for analyzing and modeling rank data...it is a mathematical statistics book in the best sense of the word..."
- Short Books Reviews of the ISI

Notă biografică

Peter Sprent is Emeritus Professor of Statistics at the University of Dundee in Scotland.

Cuprins

Data-Driven Inference. The Bootstrap. Outliers, Contamination, and Robustness. Location Tests for Two Independent Samples. More One- and Two-Sample Tests. Three or More Independent Samples. Designed Experiments. Correlation and Concordance. Bivariate Regression. Other Regression Models and Diagnostics. Categorical Data Analysis. Further Categorical Data Analysis. Data-Driven or Model-Driven? References. Index.

Descriere

This book is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers, and also as a self-instruction manual for applied statisticians seeking a simple introduction to many important practical concepts that use the 'data driven' rather than the 'model driven' approach