Trustpilot An Introduction to Statistical Methods and Data Analysis 7th Edition by R. Lyman Ott, ISBN-13: 978-1305269477 [PDF eBook eTextbook] – Available Instantly Publisher: Cengage Learning; 7th edition (June 11, 2015) Language: English 1296 pages ISBN-10: 1305269470 ISBN-13: 978-1305269477 Ott and Longnecker’s AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little…
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Data Analysis for Social Science: A Friendly and Practical Introduction by Elena Llaudet, ISBN-13: 978-0691199429 [PDF eBook eTextbook] Publisher: Princeton University Press (November 29, 2022) Language: English 256 pages ISBN-10: 0691199426 ISBN-13: 978-0691199429 An ideal textbook for complete beginners—teaches from scratch R, statistics, and the fundamentals of quantitative social science. Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific…
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The Statistical Sleuth: A Course in Methods of Data Analysis 3rd Edition by Fred Ramsey, ISBN-13: 978-1133490678 [PDF eBook eTextbook] Publisher: Cengage Learning; 3rd edition (May 2, 2012) Language: English 784 pages ISBN-10: 1133490670 ISBN-13: 978-1133490678 THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material…
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Introduction to Statistics and Data Analysis 6th Edition by Roxy Peck, ISBN-13: 978-1337793612 [PDF eBook eTextbook] Publisher: Cengage Learning; 6th edition (January 1, 2019) Language: English 896 pages ISBN-10: 1337793612 ISBN-13: 978-1337793612 Peck, Short, and Olsen’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 6th Edition stresses interpretation and communication of statistical information through hands-on, activity based learning using real data in order to get you thinking statistically. This 6th Edition contains new sections on…
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An Introduction to Categorical Data Analysis 3rd Edition by Alan Agresti, ISBN-13: 978-1119405269 [PDF eBook eTextbook] Publisher: Wiley; 3rd edition (November 5, 2018) Language: English 394 pages ISBN-10: 1119405262 ISBN-13: 978-1119405269 A valuable new edition of a standard reference. The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers…
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Optimization for Data Analysis 2022 Edition by Stephen J. Wright, ISBN-13: 978-1316518984 [PDF eBook eTextbook] Publisher: Cambridge University Press; New edition (April 28, 2022) Language: English 238 pages ISBN-10: 1316518981 ISBN-13: 978-1316518984 A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science. Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques…
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Nursing Research Using Data Analysis: Qualitative Designs and Methods in Nursing, ISBN-13: 978-0826126887 [PDF eBook eTextbook] Publisher: Springer Publishing Company; 1st edition (December 5, 2014) Language: English 248 pages ISBN-10: 9780826126887 ISBN-13: 978-0826126887 This is a concise, step-by-step guide to conducting qualitative nursing research using various forms of data analysis. It is part of a unique series of books devoted to seven different qualitative designs and methods in nursing, written for both novice…
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Topological Data Analysis for Genomics and Evolution: Topology in Biology 1st Edition by Raul Rabadan, ISBN-13: 978-1107159549 [PDF eBook eTextbook] Publisher: Cambridge University Press; 1st edition (January 16, 2020) Language: English 324 pages ISBN-10: 1107159547 ISBN-13: 978-1107159549 An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications. Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful…
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Exploratory Data Analysis 1st Edition by John Tukey, ISBN-13: 978-0201076165 [PDF eBook eTextbook] Note: Brand New, Printed in black and white pages. Publisher: Pearson; 1st edition (January 1, 1977) Language: English 712 pages ISBN-10: 0201076160 ISBN-13: 978-0201076165 Tukey looms large over the field of data visualization and computer science generally. He famously coined the term “bit” and invented the box plot. From page one of “EDA” you get a sense of what an…
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Understanding Clinical Data Analysis: Learning Statistical Principles from Published Clinical Research by Ton J. Cleophas, ISBN-13: 978-3319395852 [PDF eBook eTextbook] Publisher: Springer; 1st ed. 2017 edition (August 31, 2016) Language: English 244 pages ISBN-10: 3319395858 ISBN-13: 978-3319395852 This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why…
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Big Data Analysis with Python: Combine Spark and Python by Ivan Marin, ISBN-13: 978-1789955286 [PDF eBook eTextbook] Publisher: Packt Publishing (April 10, 2019) Language: English 276 pages ISBN-10: 1789955289 ISBN-13: 978-1789955286 Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key Features Get a hands-on, fast-paced introduction to the Python data science stack Explore ways to create useful metrics and statistics from…
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Excel Data Analysis: Modeling and Simulation 2nd Edition, ISBN-13: 978-3030012786 [PDF eBook eTextbook] Publisher: Springer; 2nd ed. 2019 edition (January 18, 2019) Language: English 368 pages ISBN-10: 3030012786 ISBN-13: 978-3030012786 This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their…
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