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Item Details
Title: AN INTRODUCTION TO THE BOOTSTRAP
By: Bradley Efron, Robert Tibshirani, R. J. Tibshirani
Format: Hardback

List price: £150.00
Our price: £135.00
Discount:
10% off
You save: £15.00
ISBN 10: 0412042312
ISBN 13: 9780412042317
Availability: Usually dispatched within 3-5 days.
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Stock: Currently 2 available
Publisher: TAYLOR & FRANCIS LTD
Pub. date: 15 May, 1994
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability 57
Pages: 456
Description: An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.
Synopsis: Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
Illustrations: references
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
Some other items by this author:
AN INTRODUCTION TO STATISTICAL LEARNING (HB)
AN INTRODUCTION TO THE BOOTSTRAP
COMPUTER AGE STATISTICAL INFERENCE (HB)
COMPUTER AGE STATISTICAL INFERENCE, STUDENT EDITION
ELEMENTS OF STATISTICAL LEARNING (HB)
EXPONENTIAL FAMILIES IN THEORY AND PRACTICE
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GENERALIZED ADDITIVE MODELS (HB)
INTRODUCTION TO STATISTICAL LEARNING
INTRODUCTION TO STATISTICAL LEARNING
INTRODUCTION TO STATISTICAL LEARNING (HB)
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LARGE-SCALE INFERENCE
LARGE-SCALE INFERENCE (HB)
LARGE-SCALE INFERENCE (PB)
STATISTICAL LEARNING WITH SPARSITY
STATISTICAL LEARNING WITH SPARSITY
STATISTICAL LEARNING WITH SPARSITY (HB)
THE ELEMENTS OF STATISTICAL LEARNING (HB)
THE JACK-KNIFE, THE BOOTSTRAP AND OTHER RESAMPLING PLANS (PB)
THE SCIENCE OF BRADLEY EFRON (HB)
THE SCIENCE OF BRADLEY EFRON (PB)

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