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| Author | : Texas. Department of Corrections. Research and Development Division |
| Publisher | : |
| Total Pages | : 66 |
| Release | : 1975 |
| Genre | : Prisoners |
| ISBN | : |
| Author | : R. Harald Baayen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 364 |
| Release | : 2002-09-30 |
| Genre | : Computers |
| ISBN | : 9781402009273 |
This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics. It aims to make these techniques more accessible for non-specialists, both theoretically, by means of a careful introduction to the underlying probabilistic and statistical concepts, and practically, by providing a program library implementing the main models for word frequency distributions.
| Author | : Anthony S. Donigian (Jr.) |
| Publisher | : |
| Total Pages | : 192 |
| Release | : 1978 |
| Genre | : Agricultural pollution |
| ISBN | : |
| Author | : Conrad Carlberg |
| Publisher | : Que Publishing |
| Total Pages | : 714 |
| Release | : 2014-04-04 |
| Genre | : Business & Economics |
| ISBN | : 0133823997 |
Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S() and STDEV.P() Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts
| Author | : Thomas A. Stetz |
| Publisher | : SAGE Publications |
| Total Pages | : 344 |
| Release | : 2015-07-30 |
| Genre | : Psychology |
| ISBN | : 1506308074 |
The Student Study Guide for Foundations of Psychological Testing has 15 chapters corresponding to those in the main text and follows a consistent structure for quick and easy access to key information. To help students understand and apply material related to psychological testing, the guide offers overviews, learning objectives, outlines, key concepts, crossword puzzles, tips by learning objective, additional exercises, additional learning activities, practice questions, and answer keys. Save your students money! Bundle the guide with the main text. Use Bundle ISBN: 978-1-5063-2208-7. The main text, Foundations of Psychological Testing: A Practical Approach, Fifth Edition, offers a clear introduction to the basics of psychological testing as well as to psychometrics and statistics. The practical book includes discussion of foundational concepts and issues, using real-life examples and situations students will easily recognize, relate to, and find interesting. A variety of pedagogical tools further the conceptual understanding needed for effective use of tests and test scores. Now aligned with the 2014 Standards for Educational and Psychological Testing, the Fifth Edition offers new and expanded content throughout.
| Author | : |
| Publisher | : |
| Total Pages | : 606 |
| Release | : 1994 |
| Genre | : Food habits |
| ISBN | : |
| Author | : James L. McGuinness |
| Publisher | : |
| Total Pages | : 44 |
| Release | : 1964 |
| Genre | : Frequency curves |
| ISBN | : |
| Author | : John McLevey |
| Publisher | : SAGE Publications Limited |
| Total Pages | : 951 |
| Release | : 2023-10-01 |
| Genre | : Social Science |
| ISBN | : 152961466X |
This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field. Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on: · General issues such as social categories and computational social science; · Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks; · Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond. By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysis is designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area. PART 1: GENERAL ISSUES PART 2: APPLICATIONS PART 3: CONCEPTS AND METHODS
| Author | : Olivas, Emilio Soria |
| Publisher | : IGI Global |
| Total Pages | : 852 |
| Release | : 2009-08-31 |
| Genre | : Computers |
| ISBN | : 1605667676 |
"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.
| Author | : Ljubiša Stanković |
| Publisher | : Springer |
| Total Pages | : 507 |
| Release | : 2018-12-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3030035743 |
This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or signal properties define the relation among sensed signal points. Even for the data sensed in the well-defined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing. Although signal processing techniques for the analysis of time-varying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertex-varying graph signals. The vertex-frequency analysis methods use the Laplacian or adjacency matrix to establish connections between vertex and spectral (frequency) domain in order to analyze local signal behavior where edge connections are used for graph signal localization. The book applies combined concepts from time-frequency and wavelet analyses of classical signal processing to the analysis of graph signals. Covering analytical tools for vertex-varying applications, this book is of interest to researchers and practitioners in engineering, science, neuroscience, genome processing, just to name a few. It is also a valuable resource for postgraduate students and researchers looking to expand their knowledge of the vertex-frequency analysis theory and its applications. The book consists of 15 chapters contributed by 41 leading researches in the field.
