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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics
  • Author : Srikanta Mishra
  • Publsiher : Elsevier
  • Release : 27 October 2017
  • ISBN : 0128032804
  • Pages : 250 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKApplied Statistical Modeling and Data Analytics

Summary:
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


Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics
  • Author : Srikanta Mishra,Akhil Datta-Gupta
  • Publisher : Elsevier
  • Release : 27 October 2017
GET THIS BOOKApplied Statistical Modeling and Data Analytics

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

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Bayesian Statistical Modelling

Bayesian Statistical Modelling
  • Author : Peter Congdon
  • Publisher : John Wiley & Sons
  • Release : 04 April 2007
GET THIS BOOKBayesian Statistical Modelling

Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing

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Statistical Modelling and Sports Business Analytics

Statistical Modelling and Sports Business Analytics
  • Author : Vanessa Ratten,Ted Hayduk
  • Publisher : Routledge
  • Release : 11 May 2020
GET THIS BOOKStatistical Modelling and Sports Business Analytics

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

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Mathematical Modelling and Optimization of Engineering Problems

Mathematical Modelling and Optimization of Engineering Problems
  • Author : J. A. Tenreiro Machado,Necati Özdemir,Dumitru Baleanu
  • Publisher : Springer Nature
  • Release : 12 February 2020
GET THIS BOOKMathematical Modelling and Optimization of Engineering Problems

This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory, mathematical modeling and fractional calculus that can be used to model and understand complex behavior in natural phenomena including latest technologies such as additive manufacturing. Specific topics covered in detail include combinatorial optimization, flow and heat transfer, mathematical modelling, energy storage and management

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Discriminant Analysis and Statistical Pattern Recognition

Discriminant Analysis and Statistical Pattern Recognition
  • Author : Geoffrey J. McLachlan
  • Publisher : John Wiley & Sons
  • Release : 25 February 2005
GET THIS BOOKDiscriminant Analysis and Statistical Pattern Recognition

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph

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Statistical Methods for the Analysis of Biomedical Data

Statistical Methods for the Analysis of Biomedical Data
  • Author : Robert F. Woolson,William R. Clarke
  • Publisher : John Wiley & Sons
  • Release : 25 January 2011
GET THIS BOOKStatistical Methods for the Analysis of Biomedical Data

The new edition adds a chapter on multiple linear regression inbiomedical research, with sections including the multiple linearregressions model and least squares; the ANOVA table, parameterestimates, and confidence intervals; partial f-tests; polynomialregression; and analysis of covariance. * Organized by problem rather than method, so it guides readers tothe correct technique for solving the problem at hand.

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Simulation and the Monte Carlo Method

Simulation and the Monte Carlo Method
  • Author : Reuven Y. Rubinstein
  • Publisher : John Wiley & Sons
  • Release : 25 September 2009
GET THIS BOOKSimulation and the Monte Carlo Method

This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.

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Modelling and Implementation of Complex Systems

Modelling and Implementation of Complex Systems
  • Author : Salim Chikhi,Abdelmalek Amine,Allaoua Chaoui,Djamel Eddine Saidouni,Mohamed Khireddine Kholladi
  • Publisher : Springer Nature
  • Release : 05 September 2020
GET THIS BOOKModelling and Implementation of Complex Systems

This proceedings book gives a new vision and real progress towards more difficult problems resolution. In trying to solve the problems we face every day in the complex world we are living, we are constantly developing artificial systems and increasingly complex middleware. Indeed, the research works contained in this book address a large spread of nowadays topics like IoT architectures, communication and routing protocols, smart systems, software defined networks (SDNs), natural language processing (NLP), social media, health systems, machine intelligence

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Mathematical and Statistical Applications in Food Engineering

Mathematical and Statistical Applications in Food Engineering
  • Author : Surajbhan Sevda,Anoop Singh
  • Publisher : CRC Press
  • Release : 30 January 2020
GET THIS BOOKMathematical and Statistical Applications in Food Engineering

Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.

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Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models
  • Author : Andrew Gelman,Professor in the Department of Statistics Andrew Gelman,Jennifer Hill
  • Publisher : Cambridge University Press
  • Release : 22 May 2022
GET THIS BOOKData Analysis Using Regression and Multilevel/Hierarchical Models

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

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Multivariate Statistical Modeling and Data Analysis

Multivariate Statistical Modeling and Data Analysis
  • Author : H. Bozdogan,Arjun K. Gupta
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKMultivariate Statistical Modeling and Data Analysis

This volume contains the Proceedings of the Advanced Symposium on Multivariate Modeling and Data Analysis held at the 64th Annual Heeting of the Virginia Academy of Sciences (VAS)--American Statistical Association's Vir ginia Chapter at James Madison University in Harrisonburg. Virginia during Hay 15-16. 1986. This symposium was sponsored by financial support from the Center for Advanced Studies at the University of Virginia to promote new and modern information-theoretic statist ical modeling procedures and to blend these new techniques within the

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New Perspectives in Statistical Modeling and Data Analysis

New Perspectives in Statistical Modeling and Data Analysis
  • Author : Salvatore Ingrassia,Roberto Rocci,Maurizio Vichi
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2011
GET THIS BOOKNew Perspectives in Statistical Modeling and Data Analysis

This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical

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Statistical Learning and Modeling in Data Analysis

Statistical Learning and Modeling in Data Analysis
  • Author : Simona Balzano,Giovanni C. Porzio,Renato Salvatore,Domenico Vistocco,Maurizio Vichi
  • Publisher : Springer
  • Release : 14 July 2021
GET THIS BOOKStatistical Learning and Modeling in Data Analysis

The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications. The book covers numerous research topics, ranging from statistical inference and modeling to clustering and factorial methods, from directional data analysis to time series analysis and small area estimation. The applications reflect new analyses in a variety of fields, including medicine, finance, engineering, marketing and cyber risk. The book gathers selected and peer-reviewed contributions

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Statistical Modeling and Analysis for Complex Data Problems

Statistical Modeling and Analysis for Complex Data Problems
  • Author : Pierre Duchesne,Bruno Rémillard
  • Publisher : Springer Science & Business Media
  • Release : 05 December 2005
GET THIS BOOKStatistical Modeling and Analysis for Complex Data Problems

This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.

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Statistical and Probabilistic Models in Reliability

Statistical and Probabilistic Models in Reliability
  • Author : Nikolaos Limnios,Dumitru Cezar Ionescu
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKStatistical and Probabilistic Models in Reliability

This volume consists of twenty-four papers selected by the editors from the sixty-one papers presented at the 1st International Conference on Mathemati cal Methods in Reliability held at the Politehnica University of Bucharest from 16 to 19 September 1997. The papers have been divided into three sections: statistical methods, probabilistic methods, and special techniques and appli cations. Of course, as with any classification, some papers could be as well assigned to other sections. Problems in reliability are encountered in items in everyday usage.

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