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Statistical Analysis


Statistical Analysis
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An Introduction To Statistical Methods And Data Analysis


An Introduction To Statistical Methods And Data Analysis
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Author : Lyman Ott
language : en
Publisher: Brooks/Cole
Release Date : 1977

An Introduction To Statistical Methods And Data Analysis written by Lyman Ott and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Mathematics categories.




Introductory Statistical Analysis


Introductory Statistical Analysis
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Author : Donald L. Harnett
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1975

Introductory Statistical Analysis written by Donald L. Harnett and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Mathematics categories.




Statistical Analysis


Statistical Analysis
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Author : Abdelmonem A. Afifi
language : en
Publisher:
Release Date : 1979

Statistical Analysis written by Abdelmonem A. Afifi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Mathematics categories.


Introduction to data analysis; Elementary statistical inference; Regression and correlation analysis; The analysis of variance; Multivariate statistical methods; Review of fundamental concepts.



Statistical Analysis Quick Reference Guidebook


Statistical Analysis Quick Reference Guidebook
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Author : Alan C. Elliott
language : en
Publisher: SAGE
Release Date : 2007

Statistical Analysis Quick Reference Guidebook written by Alan C. Elliott and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.



Statistical Data Analysis Handbook


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.



Statistical Analysis With Missing Data


Statistical Analysis With Missing Data
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Author : Roderick J. A. Little
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-19

Statistical Analysis With Missing Data written by Roderick J. A. Little 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 2019-03-19 with Mathematics categories.


An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems. Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated “classic” written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI) Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.



The Art Of Data Analysis


The Art Of Data Analysis
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Author : Kristin H. Jarman
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-13

The Art Of Data Analysis written by Kristin H. Jarman 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 2013-05-13 with Mathematics categories.


A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way. Leaving proofs and complicated mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool. In addition, light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured concepts include: • Descriptive statistics • Analysis of variance • Probability and sample distributions • Confidence intervals • Hypothesis tests • Regression • Statistical correlation • Data collection • Statistical analysis with graphs Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who face statistical questions and are in need of an intuitive understanding of basic statistical reasoning.



Statistical Analysis


Statistical Analysis
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Author : Edmund Ezra Day
language : en
Publisher:
Release Date : 1925

Statistical Analysis written by Edmund Ezra Day and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1925 with Statistics categories.


I. The significance of statistics. II. Variables and statistical units. III. Original observation. IV. Classification and statistical series. Formulation of statistical distributions. V. Classifications not in serial form. VI. Frequency distributions. VII. Spatial distributions. VIII. Temporal distributions. Analysis of frequency distributions. IX. Types of frequency distributions. X. Typical size: averages. XI. Dispersion. Analysis of paired variables: correlation. XII. The meaning of correlation. XIII, The measurement of correlation. Analysis of spatial series. XIV. Spatial series and their graphic comparison. Analysis of time series. XV. The nature of time series. XVI. Increments and rates of change. XVII. Evolutionary movements: secular trend. XVIII. Periodic movements: seasonal variation. XIX. Residual movements: cyclical and irregular. XX. Correspondence and correlation time series; Analysis of grouped variables: index numbers. XXI. The nature and purpose of index numbers. XXII. Unweighted index numbers. XXIII. Weighted index numbers ...



Statistical Analysis


Statistical Analysis
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Author : A. A. Afifi
language : en
Publisher: Academic Press
Release Date : 2014-05-09

Statistical Analysis written by A. A. Afifi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-09 with Mathematics categories.


Statistical Analysis: A Computer Oriented Approach discusses the probabilistic foundations of statistics, the standard statistical inference procedures, regression, and correlation analysis. The book also explains the analysis of variance and multivariate analysis, with an emphasis on the applications and interpretations of statistical tools. The text defines computer terminologies, coding sheets, format statements, and packaged statistical programs or software. Software and other related programs are tools for data analysis: the "frequency count program" analyzes discrete observations; and the "descriptive program" investigates one continuous variable. Other similar tools are the "descriptive program with strata" that evaluates more than one continuous random variable, and the "crosstabulation program" that reviews contingency tables. The book also explains the general linear model which is applied to the estimators and tests of hypotheses for simple and multiple linear regression models. The text shows how different packaged computer programs can be used to perform analyses of variance. For example, the factorial programs can analyze special designs of randomized blocks, replicated randomized blocks, and nested designs. For other special designs, including the split plot and Latin square designs, the investigator can make adaptations to the standard factorial program. The book is intended for students of statistical inference, computer programming, and readers interested in advanced mathematics.



Introduction To Statistical Analysis


Introduction To Statistical Analysis
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Author : Wilfrid Joseph Dixon
language : en
Publisher:
Release Date : 1969

Introduction To Statistical Analysis written by Wilfrid Joseph Dixon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Mathematical statistics categories.