Non-Fiction Books:

Meta Analysis

A Guide to Calibrating and Combining Statistical Evidence

Customer rating

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Share this product

Meta Analysis by Elena Kulinskaya
Save $71.00
$108.99 was $179.99
or 4 payments of $27.25 with Learn more
In stock with supplier

The item is brand new and in-stock in with one of our preferred suppliers. The item will ship from the Mighty Ape warehouse within the timeframe shown below.

Usually ships within 2-3 weeks

Availability

Delivering to:

Estimated arrival:

  • Around 28 Jan to 1 Feb using Express Delivery
    Mighty Ape can deliver this product within 1-2 business days (usually overnight) to urban centres across Australia, and some remote areas. Learn more
    Unlikely to arrive before Christmas
  • Around 29 Jan to 5 Feb using standard courier delivery
    Unlikely to arrive before Christmas

Description

Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts ? The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors? thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.

Author Biography

Dr. E. Kulinskaya ? Director, Statistical Advisory Service, Imperial College, London. Professor S. Morgenthaler ? Chair of Applied Statistics, Ecole Polytechnique Federale de Lausanne, Switzerland. Professor Morgenthaler was Assistant Professor at Yale University prior to moving to EPFL and has chaired various ISI committees. Professor R. G. Staudte ? Department of Statistical Science, La Trobe University, Melbourne. During his career at La Trobe he has served as Head of the Department of Statistical Science for five years and Head of the School of Mathematical and Statistical Sciences for two years. He was an Associate Editor for the Journal of Statistical Planning & Inference for 4 years, and is a member of the American Statistical Association, the Sigma Xi Scientific Research Society and the Statistical Society of Australia.
Release date Australia
February 29th, 2008
Country of Publication
United States
Imprint
Wiley-Blackwell
Pages
282
Dimensions
156x229x17
ISBN-13
9780470028643
Product ID
2472326

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Help & options

  • If you think we've made a mistake or omitted details, please send us your feedback. Send Feedback
  • If you have a question or problem with this product, visit our Help section. Get Help
  • Seen a lower price for this product elsewhere? We'll do our best to beat it. Request a better price
Filed under...