More Books:

Language: en
Pages: 340
Authors: Steven Simske
Categories: Computers
Type: BOOK - Published: 2019-03-10 - Publisher: Morgan Kaufmann

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics
Meta-Analysis for Explanation
Language: en
Pages: 392
Authors: Heidi Hartmann, Larry V. Hedges, Richard J. Light
Categories: Social Science
Type: BOOK - Published: 1992-04-27 - Publisher: Russell Sage Foundation

Social science research often yields conflicting results: Does juvenile delinquent rehabilitation work? Is teenage pregnancy prevention effective? In an effort to improve the value of research for shaping social policy, social scientists are increasingly employing a powerful technique called meta-analysis. By systematically pulling together findings of a particular research problem,
Business and Consumer Analytics: New Ideas
Language: en
Pages: 1005
Authors: Pablo Moscato, Natalie Jane de Vries
Categories: Computers
Type: BOOK - Published: 2019-05-30 - Publisher: Springer

This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender
Handbook of Meta-analysis in Ecology and Evolution
Language: en
Pages: 520
Authors: Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen
Categories: Science
Type: BOOK - Published: 2013-04-21 - Publisher: Princeton University Press

Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned
Meta Analysis
Language: en
Pages: 282
Authors: Elena Kulinskaya, Stephan Morgenthaler, Robert G. Staudte
Categories: Mathematics
Type: BOOK - Published: 2008-04-15 - Publisher: John Wiley & Sons

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,