Join Books.org — it's free
Home > Books > Introduction to Optimization Methods and Their Application in Statistics

Statistics, Computer Mathematics, Mathematical Programming & Operations Research
Introduction to Optimization Methods and Their Application in Statistics by Brian Everitt — book cover

Introduction to Optimization Methods and Their Application in Statistics

by Brian Everitt
Write a review
Log in to track your reading progress.

Reviews

There are no reviews yet. Log in to write one.

Book Details

Published
October 1, 1987
Publisher
London ; Chapman and Hall, 1987.
Pages
150
Format
Hardcover
ISBN
9780412272103

More by Brian Everitt

An R and S-Plusa(r) Companion to Multivariate Analysis
An R and S-Plusa(r) Companion to Multivariate Analysis
Analyzing Medical Data Using S-Plus
Analyzing Medical Data Using S-Plus
Medical Statistics from A to Z: A Guide for Clinicians and Medical Students
Medical Statistics from A to Z: A Guide for Clinicians and Medical Students
Statistics for Psychologists
Statistics for Psychologists
Chance Rules: An Informal Guide to Probability, Risk and Statistics
Chance Rules: An Informal Guide to Probability, Risk and Statistics
Chance Rules
Chance Rules
Statistical Methods in Medical Investigations
Statistical Methods in Medical Investigations
Making Sense of Statistics in Psychology
Making Sense of Statistics in Psychology
Statistical Methods for Medical Investigations
Statistical Methods for Medical Investigations
Clinical Trials in Psychiatry
Clinical Trials in Psychiatry

Similar books

Information Pooling and Group Decision Making, Vol. 9
Information Pooling and Group Decision Making, Vol. 9
Introduction To Optimal Estimation
Introduction To Optimal Estimation
Positive Polynomials and Sums of Squares
Positive Polynomials and Sums of Squares
Statistical Methods in Experimental Physics (2nd Edition)
Statistical Methods in Experimental Physics (2nd Edition)
Sensitivity Analysis Linear Regression
Sensitivity Analysis Linear Regression
Response Models for Detection of Change
Response Models for Detection of Change
Statistical Modeling and Analysis for Complex Data Problems
Statistical Modeling and Analysis for Complex Data Problems
Open Problems in Communication and Computation
Open Problems in Communication and Computation
Randomized Algorithms: Approximation, Generation, and Counting
Randomized Algorithms: Approximation, Generation, and Counting
Optimal Income Tax and Redistribution
Optimal Income Tax and Redistribution