Advances In Statistical Models For Data Analysis
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Advances In Statistical Models For Data Analysis
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Author : Isabella Morlini
language : en
Publisher: Springer
Release Date : 2015-09-04
Advances In Statistical Models For Data Analysis written by Isabella Morlini and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-04 with Mathematics categories.
This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.
Advances In Statistical Models For Data Analysis
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Author : Isabella Morlini
language : en
Publisher:
Release Date : 2015
Advances In Statistical Models For Data Analysis written by Isabella Morlini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.
Advanced Statistical Methods In Data Science
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Author : Ding-Geng Chen
language : en
Publisher: Springer
Release Date : 2016-11-30
Advanced Statistical Methods In Data Science written by Ding-Geng Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Mathematics categories.
This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
Understanding Advanced Statistical Methods
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Author : Peter Westfall
language : en
Publisher: CRC Press
Release Date : 2013-04-09
Understanding Advanced Statistical Methods written by Peter Westfall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-09 with Mathematics categories.
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian me
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Author : 国立国会図書館 (Japan)
language : en
Publisher:
Release Date : 1900
written by 国立国会図書館 (Japan) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1900 with Science categories.
Advanced R Statistical Programming And Data Models
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Author : Matt Wiley
language : en
Publisher: Apress
Release Date : 2019-02-20
Advanced R Statistical Programming And Data Models written by Matt Wiley and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-20 with Computers categories.
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical Programming and Data Models shows you how to conduct data analysis using the popular R language. You’ll delve into the preconditions or hypothesis for various statistical tests and techniques and work through concrete examples using R for a variety of these next-level analytics. This is a must-have guide and reference on using and programming with the R language. What You’ll Learn Conduct advanced analyses in R including: generalized linear models, generalized additive models, mixedeffects models, machine learning, and parallel processing Carry out regression modeling using R data visualization, linear and advanced regression, additive models, survival / time to event analysis Handle machine learning using R including parallel processing, dimension reduction, and feature selection and classification Address missing data using multiple imputation in R Work on factor analysis, generalized linear mixed models, and modeling intraindividual variability Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to use R to perform more advanced analytics. Particularly, researchers and data analysts in the social sciences may benefit from these techniques. Additionally, analysts who need parallel processing to speed up analytics are givenproven code to reduce time to result(s).
Which Degree Guide
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Author :
language : en
Publisher:
Release Date : 2001
Which Degree Guide written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Degrees, Academic categories.
Performance Marketing With Google Analytics
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Author : Sebastian Tonkin
language : en
Publisher: John Wiley & Sons
Release Date : 2010-05-10
Performance Marketing With Google Analytics written by Sebastian Tonkin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-10 with Computers categories.
An unparalleled author trio shares valuable advice for using Google Analytics to achieve your business goals Google Analytics is a free tool used by millions of Web site owners across the globe to track how visitors interact with their Web sites, where they arrive from, and which visitors drive the most revenue and sales leads. This book offers clear explanations of practical applications drawn from the real world. The author trio of Google Analytics veterans starts with a broad explanation of performance marketing and gets progressively more specific, closing with step-by-step analysis and applications. Features in-depth examples and case studies on how to increase revenue from search advertising, optimize an existing website, prioritize channels and campaigns, access brand health and more Discusses how to communicate with a webmaster or developer to assist with installation Addresses Google's conversion-oriented tools, including AdWords and AdSense, Google trends, Webmaster tools, search-based keyword tools, and more Touches on brand tracking studies, usability research, competitive analysis, and statistical tools Throughout the book, the main emphasis is demonstrating how you can best use Google Analytics to achieve your business objectives. Foreword by Avinash Kaushik Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Advances In Complex Data Modeling And Computational Methods In Statistics
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Author : Anna Maria Paganoni
language : en
Publisher:
Release Date : 2014-11-30
Advances In Complex Data Modeling And Computational Methods In Statistics written by Anna Maria Paganoni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with categories.
Advances In Biometry
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Author : P. Armitage
language : en
Publisher: Wiley-Interscience
Release Date : 1996-07-12
Advances In Biometry written by P. Armitage and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-12 with Mathematics categories.
Thirty leading international figures celebrate 50 years of achievement in biometry Over the past half-century, biometry has grown from a fledgling application of statistics to a vital and dynamic field that is relevant to some of the most important, substantive scientific and social issues that face us today. Statistical methodology has played a central role in the interpretation of experimental data in such dissimilar areas of biological and medical research as genetics, toxicology, neurology, and clinical trials. It has been applied in both the study and the solution of practical problems in the areas of public health, forestry, animal habitats, environmental contamination, and many more. In this book, 30 leading researchers--many of whom have made outstanding contributions to our understanding of the living world--discuss their specific branches of the subject and reflect on the exciting interaction of mathematics, statistics, and biology that has characterized the growth of biometry. Beginning with a brief history of the International Biometric Society and its journal Biometrics on the occasion of its 50th anniversary, the book goes on to offer a series of views on important developments in the field from two main perspectives: branches of statistical methodology that have played a central role in biometric applications, and branches of biology and medicine that have benefited from these applications. Selected topics are developed in depth, typically with a glance toward the future, and the book is extensively referenced throughout. Advances in Biometry is fascinating reading for students and researchers in applied statistics and mathematics, the biological and medical sciences, public health, and the environmental sciences.