Empirical Processes in M-Estimation: 6 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 6) - Image 1

£50.99

Cambridge University Press Empirical Processes in M-Estimation: 6 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 6)

Name: Empirical Processes in M-Estimation: 6 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 6)
Brand: Cambridge University Press
Price: 50.99 GBP
Availability: InStock

Probability & Statistics

This is the most expensive it has ever been. Walk away.

£51 today · previous high £51 · all-time low £44

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 77 days · 77 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 77 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (60 days, 77.9%)

Price range: £44 - £51

Price levels: 3 different prices over 77 days

Description

The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.

Product Specifications

Brand: Cambridge University Press
Format: paperback
ASIN: 0521123259
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 19 November 2009
Listed Since: 29 July 2009

Barcode

No barcode data available

Cambridge University Press Empirical Processes in M-Estimation: 6 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 6)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Topics in Nonparametric Estimation - Advances in Soviet Mathematics

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II: 119 (Chapman & Hall/CRC Texts in Statistical Science)

Probability Theory and Statistical Inference: Empirical Modeling with Observational Data

Dynamic Nonlinear Econometric Models: Asymptotic Theory

Mathematical Statistics for Economics and Business

Mathematical Statistics for Economics and Business

Empirical Likelihood - Chapman & Hall/CRC Statistics Monograph

Asymptotic Statistics: 3 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)

Exercises and Solutions in Statistical Theory: 99 (Chapman & Hall/CRC Texts in Statistical Science)

Mathematical Foundations of Infinite-Dimensional Statistical Models: Series Number 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)

Mathematical Foundations of Infinite-Dimensional Statistical Models: 40 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 40)

PRINCIPLES OF STATISTICAL INFERENCE FROM A NEO-FISHERIAN PERSPECTIVE: 4 (ADVANCED SERIES ON STATISTICAL SCIENCE AND APPLIED PROBABILITY)

NONPARAMETRIC STATISTICAL METHODS AND RELATED TOPICS: A FESTSCHRIFT IN HONOR OF PROFESSOR P K BHATTACHARYA ON THE OCCASION OF HIS 80TH BIRTHDAY

Contributions on Theory of Mathematical Statistics