First Course In Data Processing With Basic

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R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Introduction to Data Science

Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 836 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Training and Education Programs in Automatic Data Processing (ADP).

Author : United States Civil Service Commission. Bureau of Training
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Training and Education Programs in Automatic Data Processing (ADP). by : United States Civil Service Commission. Bureau of Training

Download or read book Training and Education Programs in Automatic Data Processing (ADP). written by United States Civil Service Commission. Bureau of Training and published by . This book was released on 1977 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Catalog

Author : United States Armed Forces Institute
Publisher :
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Catalog by : United States Armed Forces Institute

Download or read book Catalog written by United States Armed Forces Institute and published by . This book was released on 1971 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A First Course In Computers (Based On Wi

Author : Sanjay Saxena
Publisher : Vikas Publishing House
ISBN 13 : 9325980827
Total Pages : 480 pages
Book Rating : 4.3/5 (259 download)

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Book Synopsis A First Course In Computers (Based On Wi by : Sanjay Saxena

Download or read book A First Course In Computers (Based On Wi written by Sanjay Saxena and published by Vikas Publishing House. This book was released on with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are one of those who love technology, not for technology's sake, but for what it can do for you, and if you want to be able to say that you Know Computers instead of No Computers, this is the book for you! A First Course in Computers is a computer manual, quick guide, helpdesk and your computer teacher, all rolled in one. Just keep the book in front of you, look at the sample exercises given at the beginning of each section and start following the step-by-step visual instructions to complete the exercise. Learn easily and effectivelylearn by doing.

Essential First Steps to Data Analysis

Author : Carol S. Parke
Publisher : SAGE
ISBN 13 : 1412997518
Total Pages : 289 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis Essential First Steps to Data Analysis by : Carol S. Parke

Download or read book Essential First Steps to Data Analysis written by Carol S. Parke and published by SAGE. This book was released on 2013 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Preparation may involve data management and manipulation tasks, data organization, structural changes to data files, or conducting preliminary analysis such as examining the scale of a variable, the validity of assumptions or the nature and extent of missing data. The oresultso from these essential first steps can also help guide a researcher in selecting the most appropriate statistical tests for his/her study. The book is intended to serve as a supplemental text in statistics or research courses offered in graduate programs in education, counseling, school psychology, behavioral sciences, and social sciences as well as undergraduate programs that contain a heavy emphasis on statistics. The content and issues covered are also beneficial for faculty and researchers who are knowledgeable about research design and able to use a statistical software package, but are unsure of the first steps to take with their data. Increasingly, faculty are forming partnerships with schools, clinics, and other institutions to help them analyze data in their extensive databases. This book can serve as a reference for helping them get existing data files in an appropriate form to run statistical analysis. This book is not a replacement for a statistics textbook. It assumes that readers have some knowledge of basic statistical concepts and use of statistical software, or that they will be learning these concepts and skills concurrently throughout the course. SPSS was chosen to illustrate the preparation, evaluation, and manipulation of data. However, students or researchers who do not use SPSS will benefit from the content since the overall structure and pedagogical approach of the book focuses heavily on the data issues and decisions to be made.

Introduction to Statistical Process Control

Author : Peihua Qiu
Publisher : CRC Press
ISBN 13 : 1482220415
Total Pages : 520 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Introduction to Statistical Process Control by : Peihua Qiu

Download or read book Introduction to Statistical Process Control written by Peihua Qiu and published by CRC Press. This book was released on 2013-10-14 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon

Introduction to Functional Data Analysis

Author : Piotr Kokoszka
Publisher : CRC Press
ISBN 13 : 1498746624
Total Pages : 307 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Introduction to Functional Data Analysis by : Piotr Kokoszka

Download or read book Introduction to Functional Data Analysis written by Piotr Kokoszka and published by CRC Press. This book was released on 2017-09-27 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Functional Data Analysis provides a concise textbook introduction to the field. It explains how to analyze functional data, both at exploratory and inferential levels. It also provides a systematic and accessible exposition of the methodology and the required mathematical framework. The book can be used as textbook for a semester-long course on FDA for advanced undergraduate or MS statistics majors, as well as for MS and PhD students in other disciplines, including applied mathematics, environmental science, public health, medical research, geophysical sciences and economics. It can also be used for self-study and as a reference for researchers in those fields who wish to acquire solid understanding of FDA methodology and practical guidance for its implementation. Each chapter contains plentiful examples of relevant R code and theoretical and data analytic problems. The material of the book can be roughly divided into four parts of approximately equal length: 1) basic concepts and techniques of FDA, 2) functional regression models, 3) sparse and dependent functional data, and 4) introduction to the Hilbert space framework of FDA. The book assumes advanced undergraduate background in calculus, linear algebra, distributional probability theory, foundations of statistical inference, and some familiarity with R programming. Other required statistics background is provided in scalar settings before the related functional concepts are developed. Most chapters end with references to more advanced research for those who wish to gain a more in-depth understanding of a specific topic.

Statistical Training Programs by the U.S. Bureau of the Census

Author : International Statistical Programs Center (U.S.)
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Statistical Training Programs by the U.S. Bureau of the Census by : International Statistical Programs Center (U.S.)

Download or read book Statistical Training Programs by the U.S. Bureau of the Census written by International Statistical Programs Center (U.S.) and published by . This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Population statistics and demographic analysis, sampling and survey methods, agricultural surveys and censuses, economic surveys and censuses, computer data systems.

Bayesian Ideas and Data Analysis

Author : Ronald Christensen
Publisher : CRC Press
ISBN 13 : 1439803552
Total Pages : 518 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Ideas and Data Analysis by : Ronald Christensen

Download or read book Bayesian Ideas and Data Analysis written by Ronald Christensen and published by CRC Press. This book was released on 2011-07-07 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book’s website. The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data. Data sets and codes are provided on a supplemental website.

Introduction to Process Control

Author : Jose A. Romagnoli
Publisher : CRC Press
ISBN 13 : 1439854874
Total Pages : 637 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Introduction to Process Control by : Jose A. Romagnoli

Download or read book Introduction to Process Control written by Jose A. Romagnoli and published by CRC Press. This book was released on 2016-04-19 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Process Control, Second Edition provides a bridge between the traditional view of process control and the current, expanded role by blending conventional topics with a broader perspective of more integrated process operation, control, and information systems. Updating and expanding the content of its predecessor, this second edition

Introduction to Multivariate Analysis

Author : Sadanori Konishi
Publisher : CRC Press
ISBN 13 : 1466567287
Total Pages : 340 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Introduction to Multivariate Analysis by : Sadanori Konishi

Download or read book Introduction to Multivariate Analysis written by Sadanori Konishi and published by CRC Press. This book was released on 2014-06-06 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows how multivariate analysis is widely used for extracting useful information and patterns from multivariate data and for understanding the structure of random phenomena. Along with the basic concepts of various procedures in traditional multivariate analysis, the book covers nonlinear techniques for clarifying phenomena behind observed multivariate data. It primarily focuses on regression modeling, classification and discrimination, dimension reduction, and clustering. The text thoroughly explains the concepts and derivations of the AIC, BIC, and related criteria and includes a wide range of practical examples of model selection and evaluation criteria. To estimate and evaluate models with a large number of predictor variables, the author presents regularization methods, including the L1 norm regularization that gives simultaneous model estimation and variable selection. For advanced undergraduate and graduate students in statistical science, this text provides a systematic description of both traditional and newer techniques in multivariate analysis and machine learning. It also introduces linear and nonlinear statistical modeling for researchers and practitioners in industrial and systems engineering, information science, life science, and other areas.

Analysis of Failure and Survival Data

Author : Peter J. Smith
Publisher : CRC Press
ISBN 13 : 1482295709
Total Pages : 267 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Analysis of Failure and Survival Data by : Peter J. Smith

Download or read book Analysis of Failure and Survival Data written by Peter J. Smith and published by CRC Press. This book was released on 2017-07-28 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate. Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.

The Analysis and Interpretation of Multivariate Data for Social Scientists

Author : J.I. Galbraith
Publisher : CRC Press
ISBN 13 : 9781584882954
Total Pages : 290 pages
Book Rating : 4.8/5 (829 download)

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Book Synopsis The Analysis and Interpretation of Multivariate Data for Social Scientists by : J.I. Galbraith

Download or read book The Analysis and Interpretation of Multivariate Data for Social Scientists written by J.I. Galbraith and published by CRC Press. This book was released on 2002-02-26 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>

Practical Multivariate Analysis

Author : Abdelmonem Afifi
Publisher : CRC Press
ISBN 13 : 1466503246
Total Pages : 530 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Practical Multivariate Analysis by : Abdelmonem Afifi

Download or read book Practical Multivariate Analysis written by Abdelmonem Afifi and published by CRC Press. This book was released on 2011-07-05 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical

Multivariate Survival Analysis and Competing Risks

Author : Martin J. Crowder
Publisher : CRC Press
ISBN 13 : 1439875227
Total Pages : 402 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multivariate Survival Analysis and Competing Risks by : Martin J. Crowder

Download or read book Multivariate Survival Analysis and Competing Risks written by Martin J. Crowder and published by CRC Press. This book was released on 2012-04-17 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate

Bayesian Data Analysis, Second Edition

Author : Andrew Gelman
Publisher : CRC Press
ISBN 13 : 1420057294
Total Pages : 717 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Bayesian Data Analysis, Second Edition by : Andrew Gelman

Download or read book Bayesian Data Analysis, Second Edition written by Andrew Gelman and published by CRC Press. This book was released on 2003-07-29 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collection Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.