Statistical Data Analysis Handbook
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Statistical Data Analysis Handbook
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Author : Francis J. Wall
language : en
Publisher: McGraw-Hill Companies
Release Date : 1986
Statistical Data Analysis Handbook written by Francis J. Wall and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematics categories.
It must be emphasized that this is not a text book on statistics. Instead it is a working tool that presents data analysis in clear, concise terms which can be readily understood even by those without formal training in statistics. Following pivotal chapters on the art of analysis, you will find two invaluable reference sections to which you're bound to turn again and again as you make your analyses. The first section gives you the data analyst's-as opposed to the statistician's-eyeview of the basics of a number of fundamental statistical techniques, including random samples, p-values, the analysis of variance, statistical tests, and testing. The second gives you 20 statistical tables that have been especially formatted and expanded to make them far easier to read and apply than conventional statistical tables.
Handbook Of Data Analysis
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Author : Melissa A Hardy
language : en
Publisher: SAGE
Release Date : 2009-06-17
Handbook Of Data Analysis written by Melissa A Hardy and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-17 with Social Science categories.
′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
The Data Analysis Handbook
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Author : I.E. Frank
language : en
Publisher: Elsevier
Release Date : 1994-09-30
The Data Analysis Handbook written by I.E. Frank and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-09-30 with Education categories.
Analyzing observed or measured data is an important step in applied sciences. The recent increase in computer capacity has resulted in a revolution both in data collection and data analysis. An increasing number of scientists, researchers and students are venturing into statistical data analysis; hence the need for more guidance in this field, which was previously dominated mainly by statisticians.This handbook fills the gap in the range of textbooks on data analysis. Written in a dictionary format, it will serve as a comprehensive reference book in a rapidly growing field. However, this book is more structured than an ordinary dictionary, where each entry is a separate, self-contained entity. The authors provide not only definitions and short descriptions, but also offer an overview of the different topics. Therefore, the handbook can also be used as a companion to textbooks for undergraduate or graduate courses.1700 entries are given in alphabetical order grouped into 20 topics and each topic is organized in a hierarchical fashion. Additional specific entries on a topic can be easily found by following the cross-references in a top-down manner. Several figures and tables are provided to enhance the comprehension of the topics and a list of acronyms helps to locate the full terminologies. The bibliography offers suggestions for further reading.
Statistical Analysis Handbook
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Author : Dr Michael John de Smith
language : en
Publisher: The Winchelsea Press
Release Date :
Statistical Analysis Handbook written by Dr Michael John de Smith and has been published by The Winchelsea Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.
A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools.
Statistic And Data Analysis
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Author : Nilesh Nikam
language : en
Publisher:
Release Date : 2018-02-12
Statistic And Data Analysis written by Nilesh Nikam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-12 with categories.
STATISTIC AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including the frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension.
Statistic And Data Analysis
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Author : Nilesh NIKAM
language : en
Publisher:
Release Date : 2018-02-10
Statistic And Data Analysis written by Nilesh NIKAM and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-10 with categories.
STATISTIC AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide you through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including the frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension.
A Handbook Of Small Data Sets
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Author : David J. Hand
language : en
Publisher: CRC Press
Release Date : 1993-11-01
A Handbook Of Small Data Sets written by David J. Hand and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-11-01 with Mathematics categories.
This book should be of interest to statistics lecturers who want ready-made data sets complete with notes for teaching.
Statistical Analysis Handbook
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Author : Michael J. De Smith
language : en
Publisher:
Release Date : 2013
Statistical Analysis Handbook written by Michael J. De Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Statistics categories.
Handbook Of Big Data Analytics
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Author : Wolfgang Karl Härdle
language : en
Publisher: Springer
Release Date : 2018-07-20
Handbook Of Big Data Analytics written by Wolfgang Karl Härdle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-20 with Computers categories.
Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
Handbook Of Regression Analysis With Applications In R
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Author : Samprit Chatterjee
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-30
Handbook Of Regression Analysis With Applications In R written by Samprit Chatterjee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Mathematics categories.
Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of "classical" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: Regularization methods Smoothing methods Tree-based methods In the new edition of the Handbook, the data analyst's toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians.