Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics
Author :
Publisher : Elsevier
Total Pages : 252
Release :
ISBN-10 : 9780128032800
ISBN-13 : 0128032804
Rating : 4/5 (00 Downloads)

Synopsis Applied Statistical Modeling and Data Analytics by : Srikanta Mishra

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

Statistical Models and Methods for Lifetime Data

Statistical Models and Methods for Lifetime Data
Author :
Publisher : John Wiley & Sons
Total Pages : 662
Release :
ISBN-10 : 9781118031254
ISBN-13 : 1118031253
Rating : 4/5 (54 Downloads)

Synopsis Statistical Models and Methods for Lifetime Data by : Jerald F. Lawless

Praise for the First Edition "An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ." -Choice "This is an important book, which will appeal to statisticians working on survival analysis problems." -Biometrics "A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data . . . this is a highly competent and agreeable statistical textbook." -Statistics in Medicine The statistical analysis of lifetime or response time data is a key tool in engineering, medicine, and many other scientific and technological areas. This book provides a unified treatment of the models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis of lifetime data and as a text for advanced students, Statistical Models and Methods for Lifetime Data, Second Edition provides broad coverage of the area without concentrating on any single field of application. Extensive illustrations and examples drawn from engineering and the biomedical sciences provide readers with a clear understanding of key concepts. New and expanded coverage in this edition includes: * Observation schemes for lifetime data * Multiple failure modes * Counting process-martingale tools * Both special lifetime data and general optimization software * Mixture models * Treatment of interval-censored and truncated data * Multivariate lifetimes and event history models * Resampling and simulation methodology

Statistical Models

Statistical Models
Author :
Publisher : Cambridge University Press
Total Pages : 459
Release :
ISBN-10 : 9781139477314
ISBN-13 : 1139477315
Rating : 4/5 (14 Downloads)

Synopsis Statistical Models by : David A. Freedman

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.

Statistical Models for Data Analysis

Statistical Models for Data Analysis
Author :
Publisher : Springer Science & Business Media
Total Pages : 413
Release :
ISBN-10 : 9783319000329
ISBN-13 : 3319000322
Rating : 4/5 (29 Downloads)

Synopsis Statistical Models for Data Analysis by : Paolo Giudici

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. ​

Statistical Modeling and Analysis for Complex Data Problems

Statistical Modeling and Analysis for Complex Data Problems
Author :
Publisher : Springer Science & Business Media
Total Pages : 330
Release :
ISBN-10 : 9780387245553
ISBN-13 : 0387245553
Rating : 4/5 (53 Downloads)

Synopsis Statistical Modeling and Analysis for Complex Data Problems by : Pierre Duchesne

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.

Statistical Modeling and Analysis for Database Marketing

Statistical Modeling and Analysis for Database Marketing
Author :
Publisher : CRC Press
Total Pages : 383
Release :
ISBN-10 : 9780203496909
ISBN-13 : 0203496906
Rating : 4/5 (09 Downloads)

Synopsis Statistical Modeling and Analysis for Database Marketing by : Bruce Ratner

Traditional statistical methods are limited in their ability to meet the modern challenge of mining large amounts of data. Data miners, analysts, and statisticians are searching for innovative new data mining techniques with greater predictive power, an attribute critical for reliable models and analyses. Statistical Modeling and Analysis fo

Statistical Modeling for Degradation Data

Statistical Modeling for Degradation Data
Author :
Publisher : Springer
Total Pages : 382
Release :
ISBN-10 : 9789811051944
ISBN-13 : 9811051941
Rating : 4/5 (44 Downloads)

Synopsis Statistical Modeling for Degradation Data by : Ding-Geng (Din) Chen

This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.

Learning Statistics with R

Learning Statistics with R
Author :
Publisher : Lulu.com
Total Pages : 617
Release :
ISBN-10 : 9781326189723
ISBN-13 : 1326189727
Rating : 4/5 (23 Downloads)

Synopsis Learning Statistics with R by : Daniel Navarro

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Statistical Models for Causal Analysis

Statistical Models for Causal Analysis
Author :
Publisher : John Wiley & Sons
Total Pages : 274
Release :
ISBN-10 : 9781118031346
ISBN-13 : 1118031342
Rating : 4/5 (46 Downloads)

Synopsis Statistical Models for Causal Analysis by : Robert D. Retherford

Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate regression, multiple regression, multiple classification analysis, path analysis, logit regression, multinomial logit regression and survival models are among the subjects covered. Features an appendix of computer programs (for major statistical packages) that are used to generate illustrative examples contained in the chapters.

Statistical Modeling for Biomedical Researchers

Statistical Modeling for Biomedical Researchers
Author :
Publisher : Cambridge University Press
Total Pages : 543
Release :
ISBN-10 : 9780521849524
ISBN-13 : 0521849527
Rating : 4/5 (24 Downloads)

Synopsis Statistical Modeling for Biomedical Researchers by : William D. Dupont

A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.