Analytic Statistical Models
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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.
Analytic Statistical Models
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Author : Ib M. Skovgaard
language : en
Publisher: IMS
Release Date : 1990
Analytic Statistical Models written by Ib M. Skovgaard and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.
Applied Statistical Modeling And Data Analytics
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Author : Srikanta Mishra
language : en
Publisher: Elsevier
Release Date : 2017-10-27
Applied Statistical Modeling And Data Analytics written by Srikanta Mishra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-27 with Science categories.
Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. - Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains - Written by practitioners for practitioners - Presents an easy to follow narrative which progresses from simple concepts to more challenging ones - Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences - Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications
Analytic Statistical Models
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Author : Ib M. Skovgaard
language : en
Publisher:
Release Date : 2008*
Analytic Statistical Models written by Ib M. Skovgaard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008* with Mathematical statistics categories.
This e-book is the product of Project Euclid and its mission to advance scholarly communication in the field of theoretical and applied mathematics and statistics. Project Euclid was developed and deployed by the Cornell University Library and is jointly managed by Cornell and the Duke University Press.
Statistical Models For Data Analysis
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Author : Paolo Giudici
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-07-01
Statistical Models For Data Analysis written by Paolo Giudici and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-01 with Mathematics categories.
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society.
Case Studies In Bayesian Statistical Modelling And Analysis
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Author : Clair L. Alston
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-10
Case Studies In Bayesian Statistical Modelling And Analysis written by Clair L. Alston 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 2012-10-10 with Mathematics categories.
Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches. Case Studies in Bayesian Statistical Modelling and Analysis: Illustrates how to do Bayesian analysis in a clear and concise manner using real-world problems. Each chapter focuses on a real-world problem and describes the way in which the problem may be analysed using Bayesian methods. Features approaches that can be used in a wide area of application, such as, health, the environment, genetics, information science, medicine, biology, industry and remote sensing. Case Studies in Bayesian Statistical Modelling and Analysis is aimed at statisticians, researchers and practitioners who have some expertise in statistical modelling and analysis, and some understanding of the basics of Bayesian statistics, but little experience in its application. Graduate students of statistics and biostatistics will also find this book beneficial.
Business Analytics And Statistics 2nd Edition
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Author : Ken Black
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-08
Business Analytics And Statistics 2nd Edition written by Ken Black 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 2024-04-08 with Business & Economics categories.
Written for the Australian and New Zealand markets, the second edition of Business Analytics & Statistics (Black et al.) presents statistics in a cutting-edge interactive digital format designed to motivate students by taking the road blocks out of self-study and to facilitate master through drill-and-skill practice.
Statistical Modelling And Analysis Techniques
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Author :
language : en
Publisher:
Release Date : 2016-06-21
Statistical Modelling And Analysis Techniques written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-21 with categories.
Statistical Modelling And Sports Business Analytics
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Author : Vanessa Ratten
language : en
Publisher: Routledge
Release Date : 2020-05-11
Statistical Modelling And Sports Business Analytics written by Vanessa Ratten and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-11 with Business & Economics categories.
This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.
Mastering Business Analytics Transforming Data Into Strategic Insights
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Author : Aayushi Singh, V.K Singh, Rudra Rameshwar, Sumanjeet Singh
language : en
Publisher: Misha Books
Release Date :
Mastering Business Analytics Transforming Data Into Strategic Insights written by Aayushi Singh, V.K Singh, Rudra Rameshwar, Sumanjeet Singh and has been published by Misha Books this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Mastering Business Analytics" is a comprehensive guide that introduces readers to the key concepts, tools, and techniques used in modern data-driven business decision-making. Designed for students, analysts, managers, and business professionals, the book bridges the gap between data science and business strategy by focusing on real-world applications of analytics. The book covers the full spectrum of business analytics—from descriptive and diagnostic analytics to predictive and prescriptive models. Readers will learn how to use tools like Excel, SQL, Power BI, R, and Python to gather insights, forecast trends, and drive business value. Through industry case studies, visualization techniques, and performance metrics, the book shows how analytics can be used in areas such as marketing, finance, operations, HR, and supply chain. It is ideal for both beginners and intermediate learners who want to build strong analytical thinking skills and apply data insights in real business contexts.