Meta Analytics

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 approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts. Provides comprehensive and systematic coverage of machine learning-based data analysis tasks Enables rapid progress towards competency in data analysis techniques Gives exhaustive and widely applicable patterns for use by data scientists Covers hybrid or ‘meta’ approaches, along with general analytics Lays out information and practical guidance on data analysis for practitioners working across all sectors

Produk Detail:

  • Author : Steven Simske
  • Publisher : Morgan Kaufmann
  • Pages : 340 pages
  • ISBN : 0128146249
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMeta Analytics

Meta-Analytics

Meta-Analytics
  • Author : Steven Simske
  • Publisher : Morgan Kaufmann
  • Release : 10 March 2019
GET THIS BOOKMeta-Analytics

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 approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine

Meta-Analytics

Meta-Analytics
  • Author : Steven Simske
  • Publisher : Morgan Kaufmann
  • Release : 15 June 2019
GET THIS BOOKMeta-Analytics

We live in a world in which huge volumes of data are being collected. The machine intelligence community has been very successful in turning this data into information. Taking the power of hybrid architectures as a starting point, analytics approaches can be upgraded. Meta-Analytics supplies 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 behaviour than

Meta-Analysis for Explanation

Meta-Analysis for Explanation
  • Author : Heidi Hartmann,Larry V. Hedges,Richard J. Light
  • Publisher : Russell Sage Foundation
  • Release : 27 April 1992
GET THIS BOOKMeta-Analysis for Explanation

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, meta-analysis allows researchers to synthesize the results of multiple studies and detect statistically significant patterns among them. Meta-Analysis for Explanation brings exemplary illustrations of research synthesis together with expert discussion

Meta-Analysis with R

Meta-Analysis with R
  • Author : Guido Schwarzer,James R. Carpenter,Gerta Rücker
  • Publisher : Springer
  • Release : 08 October 2015
GET THIS BOOKMeta-Analysis with R

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

Business and Consumer Analytics: New Ideas

Business and Consumer Analytics: New Ideas
  • Author : Pablo Moscato,Natalie Jane de Vries
  • Publisher : Springer
  • Release : 30 May 2019
GET THIS BOOKBusiness and Consumer Analytics: New Ideas

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 systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational

Handbook of Meta-analysis in Ecology and Evolution

Handbook of Meta-analysis in Ecology and Evolution
  • Author : Julia Koricheva,Jessica Gurevitch,Kerrie Mengersen
  • Publisher : Princeton University Press
  • Release : 21 April 2013
GET THIS BOOKHandbook of Meta-analysis in Ecology and Evolution

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 experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and

Advances in Meta-Analysis

Advances in Meta-Analysis
  • Author : Terri Pigott
  • Publisher : Springer Science & Business Media
  • Release : 31 January 2012
GET THIS BOOKAdvances in Meta-Analysis

This book describes multivariate analyses for several indices commonly used in meta-analysis, outlines how to do power analysis for meta-analysis, and examines issues around research quality and research design and their roles in synthesis.

Introduction to Meta-Analysis

Introduction to Meta-Analysis
  • Author : Michael Borenstein,Larry V. Hedges,Julian P. T. Higgins,Hannah R. Rothstein
  • Publisher : John Wiley & Sons
  • Release : 24 August 2011
GET THIS BOOKIntroduction to Meta-Analysis

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect

Meta-Analysis

Meta-Analysis
  • Author : Fredric M. Wolf
  • Publisher : SAGE
  • Release : 01 April 1986
GET THIS BOOKMeta-Analysis

Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of independent studies for both group differences and correlations. Strengths and weaknesses of alternative approaches, as well as of meta-analysis in general, are presented.

Statistical Meta-Analysis with Applications

Statistical Meta-Analysis with Applications
  • Author : Joachim Hartung (Prof. Dr.),Guido Knapp,Bimal K. Sinha
  • Publisher : Wiley-Interscience
  • Release : 11 August 2008
GET THIS BOOKStatistical Meta-Analysis with Applications

"Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies."--Jacket.

Statistical Methods for Meta-Analysis

Statistical Methods for Meta-Analysis
  • Author : Larry V. Hedges,Ingram Olkin
  • Publisher : Academic Press
  • Release : 28 June 2014
GET THIS BOOKStatistical Methods for Meta-Analysis

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are

Diagnostic Meta-Analysis

Diagnostic Meta-Analysis
  • Author : Giuseppe Biondi-Zoccai
  • Publisher : Springer
  • Release : 24 July 2018
GET THIS BOOKDiagnostic Meta-Analysis

This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the

Handbook of Meta-Analysis

Handbook of Meta-Analysis
  • Author : Christopher H. Schmid,Theo Stijnen,Ian White
  • Publisher : CRC Press
  • Release : 08 September 2020
GET THIS BOOKHandbook of Meta-Analysis

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same