Applied Statistics and Data Science

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Author :
Publisher : Springer Nature
ISBN 13 : 3030861333
Total Pages : 166 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Applied Statistics and Data Science by : Yogendra P. Chaubey

Download or read book Applied Statistics and Data Science written by Yogendra P. Chaubey and published by Springer Nature. This book was released on 2022-01-01 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the 6th Annual Canadian Conference in Applied Statistics, held virtually on July 15-18, 2021. Papers are contributed from established and emerging scholars, covering cutting-edge and contemporary innovative techniques in statistics and data science. Major areas of contribution include Bayesian statistics; computational statistics; data science; semi-parametric regression; and stochastic methods in biology, crop science, ecology and engineering. It will be a valuable edited collection for graduate students, researchers, and practitioners in a wide array of applied statistical and data science methods.

Learn R for Applied Statistics

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Author :
Publisher : Apress
ISBN 13 : 1484242009
Total Pages : 254 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Learn R for Applied Statistics by : Eric Goh Ming Hui

Download or read book Learn R for Applied Statistics written by Eric Goh Ming Hui and published by Apress. This book was released on 2018-11-30 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will LearnDiscover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.

Applied Statistics for the Social and Health Sciences

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Author :
Publisher : Taylor & Francis
ISBN 13 : 1000894738
Total Pages : 800 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Applied Statistics for the Social and Health Sciences by : Rachel A. Gordon

Download or read book Applied Statistics for the Social and Health Sciences written by Rachel A. Gordon and published by Taylor & Francis. This book was released on 2023-11-15 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.

Applied Statistical Modeling and Data Analytics

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Publisher : Elsevier
ISBN 13 : 0128032804
Total Pages : 252 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Applied Statistical Modeling and Data Analytics by : Srikanta Mishra

Download or read book Applied Statistical Modeling and Data Analytics written by Srikanta Mishra and published by Elsevier. This book was released on 2017-10-27 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistics for Data Science and Policy Analysis

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Publisher : Springer
ISBN 13 : 9789811517372
Total Pages : 0 pages
Book Rating : 4.5/5 (173 download)

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Book Synopsis Statistics for Data Science and Policy Analysis by : Azizur Rahman

Download or read book Statistics for Data Science and Policy Analysis written by Azizur Rahman and published by Springer. This book was released on 2021-04-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading international experts in the field of statistics, data science and policy evaluation. This book explores the theme of effective policy methods through the use of big data, accurate estimates and modern computing tools and statistical modelling.

Statistics for Data Scientists

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Publisher : Springer Nature
ISBN 13 : 3030105318
Total Pages : 342 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Statistics for Data Scientists by : Maurits Kaptein

Download or read book Statistics for Data Scientists written by Maurits Kaptein and published by Springer Nature. This book was released on 2022-02-02 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

Developing Analytic Talent

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Publisher : John Wiley & Sons
ISBN 13 : 1118810090
Total Pages : 336 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Developing Analytic Talent by : Vincent Granville

Download or read book Developing Analytic Talent written by Vincent Granville and published by John Wiley & Sons. This book was released on 2014-03-24 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn what it takes to succeed in the the most in-demand tech job Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT professionals. Data science involves extracting, creating, and processing data to turn it into business value. With over 15 years of big data, predictive modeling, and business analytics experience, author Vincent Granville is no stranger to data science. In this one-of-a-kind guide, he provides insight into the essential data science skills, such as statistics and visualization techniques, and covers everything from analytical recipes and data science tricks to common job interview questions, sample resumes, and source code. The applications are endless and varied: automatically detecting spam and plagiarism, optimizing bid prices in keyword advertising, identifying new molecules to fight cancer, assessing the risk of meteorite impact. Complete with case studies, this book is a must, whether you're looking to become a data scientist or to hire one. Explains the finer points of data science, the required skills, and how to acquire them, including analytical recipes, standard rules, source code, and a dictionary of terms Shows what companies are looking for and how the growing importance of big data has increased the demand for data scientists Features job interview questions, sample resumes, salary surveys, and examples of job ads Case studies explore how data science is used on Wall Street, in botnet detection, for online advertising, and in many other business-critical situations Developing Analytic Talent: Becoming a Data Scientist is essential reading for those aspiring to this hot career choice and for employers seeking the best candidates.

Practical Statistics for Data Scientists

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491952911
Total Pages : 322 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce

Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Applied Statistics in Agricultural, Biological, and Environmental Sciences

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Publisher : John Wiley & Sons
ISBN 13 : 0891183590
Total Pages : 672 pages
Book Rating : 4.8/5 (911 download)

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Book Synopsis Applied Statistics in Agricultural, Biological, and Environmental Sciences by : Barry Glaz

Download or read book Applied Statistics in Agricultural, Biological, and Environmental Sciences written by Barry Glaz and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Applied Data Mining

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Publisher : John Wiley & Sons
ISBN 13 : 0470871393
Total Pages : 379 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Applied Data Mining by : Paolo Giudici

Download or read book Applied Data Mining written by Paolo Giudici and published by John Wiley & Sons. This book was released on 2005-09-27 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.

Applied Statistics for Environmental Science with R

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Publisher : Elsevier
ISBN 13 : 0128186232
Total Pages : 240 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Applied Statistics for Environmental Science with R by : Abbas F. M. Al-Karkhi

Download or read book Applied Statistics for Environmental Science with R written by Abbas F. M. Al-Karkhi and published by Elsevier. This book was released on 2019-09-13 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. Includes step-by-step tutorials to aid in understanding the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs Shows how to analyze data using R software and provides R scripts for all examples and figures

Applied Statistics Using Stata

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Author :
Publisher : SAGE
ISBN 13 : 1529784506
Total Pages : 489 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Applied Statistics Using Stata by : Mehmet Mehmetoglu

Download or read book Applied Statistics Using Stata written by Mehmet Mehmetoglu and published by SAGE. This book was released on 2022-04-26 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining theory with plenty of practical, technical advice – and accompanied by original case studies and data sets – this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.

Modern Applied Statistics with S-PLUS

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Publisher : Springer Science & Business Media
ISBN 13 : 1475727194
Total Pages : 562 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Modern Applied Statistics with S-PLUS by : William N. Venables

Download or read book Modern Applied Statistics with S-PLUS written by William N. Venables and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to have a basic grounding in statistics, thus the book is intended for would-be users, as well as students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets, with many of the methods discussed being modern approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, or later, and covers both Windows and UNIX. It treats the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects linear and non-linear models, factor analysis, and regression with autocorrelated errors. The authors have written several software libraries which enhance S-PLUS, and these, plus all the datasets used, are available on the Internet.

Applied Statistics with SPSS

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Author :
Publisher : SAGE
ISBN 13 : 1446223000
Total Pages : 368 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Applied Statistics with SPSS by : Eelko Huizingh

Download or read book Applied Statistics with SPSS written by Eelko Huizingh and published by SAGE. This book was released on 2007-01-24 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text′s self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.

Applied Data Science

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Publisher : Springer
ISBN 13 : 3030118215
Total Pages : 465 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applied Data Science by : Martin Braschler

Download or read book Applied Data Science written by Martin Braschler and published by Springer. This book was released on 2019-06-13 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.

Applied Statistics for the Social and Health Sciences

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Author :
Publisher : Routledge
ISBN 13 : 1136484175
Total Pages : 994 pages
Book Rating : 4.1/5 (364 download)

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Book Synopsis Applied Statistics for the Social and Health Sciences by : Rachel A. Gordon

Download or read book Applied Statistics for the Social and Health Sciences written by Rachel A. Gordon and published by Routledge. This book was released on 2012-07-26 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science branches such as human development, public health, sociology, psychology, education, and social work in which students bring a wide range of mathematical skills and have a wide range of methodological affinities. For these students, a successful course in statistics will not only offer statistical content but will also help them develop an appreciation for how statistical techniques might answer some of the research questions of interest to them. This book is for use in a two-semester graduate course sequence covering basic univariate and bivariate statistics and regression models for nominal and ordinal outcomes, in addition to covering ordinary least squares regression. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature thorough integration of teaching statistical theory with teaching data processing and analysis teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set. This book is for a two-semester course. For a one-semester course, see http://www.routledge.com/9780415991544/

Statistics (The Easier Way) With R

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Author :
Publisher : Nicole M Radziwill
ISBN 13 : 9780996916059
Total Pages : 538 pages
Book Rating : 4.9/5 (16 download)

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Book Synopsis Statistics (The Easier Way) With R by : N. M. Radziwill

Download or read book Statistics (The Easier Way) With R written by N. M. Radziwill and published by Nicole M Radziwill. This book was released on 2017-07-27 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers exploratory data analysis, 10 parametric statistical inference tests, and examples using a 7 Step method that blends estimation, analytical solutions, and computational solutions.