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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical;
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Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;
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Introduction to Research Methods and Data Analysis in Psychology provides students with the only research methods textbook they will need;
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Introduction to Research Methods and Data Analysis in Psychology provides students with the only research methods textbook they will need;
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immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started;
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additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas;
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that arise in their applications. An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems includes: many;
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A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;
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Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;
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of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving;
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, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an;
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An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;
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An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on;
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introduction to practical data analysis, and provides comprehensive coverage of basic statistical principles and reasoning. With practical examples;
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Reliability Data, Second Edition (SMRD2) is an essential guide to the most widely used and recently developed statistical methods for reliability data;
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, confidence intervals, and analytic modeling are presented in the context of survival data but are, in fact, statistical tools that apply to;
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A useful and readable introduction to data analysis and valuable resource for the nonspecialist. --Cameron Lee, Fuller Theological;
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for a smooth transition to the laboratory. Practical and authoritative, Statistical Analysis in Proteomics serves as an ideal reference for;
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The language of the book is very simple and covers all aspects of statistical methods starting from organization and collection of data to;
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psychiatrist-friendly data analysis software. Topics covered include: * An overview of psychiatry research * The organization and collection;
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techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis;
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, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these;
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topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental;
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the results fo statistical analysis aeo An introduction to linear exponential family and generalized linear models aeo A thorough discussion;
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questions. Statistics In Musicology presents an unprecedented introduction to statistical and mathematical methods developed for use in music;
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presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the;
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