Download or read online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get book now. This site is like a library, Use search box in the widget to get ebook that you want.

First and Second Steps in Statistics

First  and Second  Steps in Statistics Author Daniel B Wright
ISBN-10 9781446204030
Release 2009-03-18
Pages 248
Download Link Click Here

'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' - Professor Jon May, University of Plymouth 'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' - Nick Allum, University of Essex Selected as an Outstanding Academic Title by Choice Magazine, January 2010 First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey. The rationale and procedure for analyzing data are presented through exciting examples with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics given its gentle beginning, yet progressive treatment of topics. In addition to descriptive statistics, graphs, t-tests, oneway ANOVAs, Chi-square, and simple linear regression, this Second Edition now includes some new, more advanced topic areas as well as a host of additional examples to help students confidently progress through their studies and apply the techniques in lab work, reports and research projects. Key features of this new edition: - the reoganization of the first three chapters giving more attention to univariate statistics and providing more examples to work through at this level - more advanced 'second step' content has been added on factorial ANOVA and multiple regression - the robust methods chapter from the first edition is now spread throughout the book, and is linked with common teaching practices. - many more examples have been added to enhance the book's practical potential. - a host of exercises as well as further reading sections at the end of every chapter. An accompanying Web page includes information for each chapter using the statistical packages SPSS and R.



First steps in statistics

First steps in statistics Author Daniel B. Wright
ISBN-10 0761951636
Release 2002-03-13
Pages 147
Download Link Click Here

First Steps in Statistics is an introduction to the most common statistics used and taught on first-year research methods courses and is designed to map onto a ten- or fifteen-week module. Coverage includes: descriptive statistics t Tests ANOVAs correlations regressions Chi-Squared test graphing data Carefully chosen examples are used to illustrate each test, and there is particular care in conveying conceptual aspects. There are also special chapters dedicated to the role of hypothesis testing, sampling, and making graphs. Each chapter includes several exercises answers to which can be supplied free to adopters upon request. A list of further reading to guide the student comfortably through their first experience of doing basic statistics and playing with data is also provided.



Handbook of Item Response Theory Three Volume Set

Handbook of Item Response Theory  Three Volume Set Author Wim J. van der Linden
ISBN-10 9781482282474
Release 2018-02-19
Pages 1500
Download Link Click Here

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research. It also covers CRAN packages, WinBUGS, Bilog MG, Multilog, Parscale, IRTPRO, Mplus, GLLAMM, Latent Gold, and numerous other software tools. A full update of editor Wim J. van der Linden and Ronald K. Hambleton’s classic Handbook of Modern Item Response Theory, this handbook has been expanded from 28 chapters to 85 chapters in three volumes. The three volumes are thoroughly edited and cross-referenced, with uniform notation, format, and pedagogical principles across all chapters. Each chapter is self-contained and deals with the latest developments in IRT.



Blind Speech Separation

Blind Speech Separation Author Shoji Makino
ISBN-10 9781402064791
Release 2007-09-07
Pages 432
Download Link Click Here

This is the world’s first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a small number of leading researchers to provide tutorial-like and in-depth treatment on major ICA-based BSS topics, with the objective of becoming the definitive source for current, comprehensive, authoritative, and yet accessible treatment.



Basic Statistics Tales of Distributions

Basic Statistics  Tales of Distributions Author Chris Spatz
ISBN-10 9780495808916
Release 2010-01-22
Pages 512
Download Link Click Here

Well-known and appreciated for its storytelling style, engaging bits of humor, and problem sets from a variety of disciplines, this book keeps getting better. Honed throughout, this edition emphasizes exploration of data, interpretation of statistical outcomes, and effect size indexes. Retained Error Detection boxes, What Would You Recommend? problems, and Clues to the Future notations that highlight concepts to be used later continue to distinguish Spatz' text. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.



Labor force statistics derived from the Current population survey

Labor force statistics derived from the Current population survey Author United States. Bureau of Labor Statistics
ISBN-10 UIUC:30112004487267
Release 1982
Pages
Download Link Click Here

Labor force statistics derived from the Current population survey has been writing in one form or another for most of life. You can find so many inspiration from Labor force statistics derived from the Current population survey also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Labor force statistics derived from the Current population survey book for free.



Applied Survey Data Analysis

Applied Survey Data Analysis Author Steven G. Heeringa
ISBN-10 1420080679
Release 2010-04-05
Pages 487
Download Link Click Here

Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available software procedures while reinforcing the principles and theory that underlie those methods. After introducing a step-by-step process for approaching a survey analysis problem, the book presents the fundamental features of complex sample designs and shows how to integrate design characteristics into the statistical methods and software for survey estimation and inference. The authors then focus on the methods and models used in analyzing continuous, categorical, and count-dependent variables; event history; and missing data problems. Some of the techniques discussed include univariate descriptive and simple bivariate analyses, the linear regression model, generalized linear regression modeling methods, the Cox proportional hazards model, discrete time models, and the multiple imputation analysis method. The final chapter covers new developments in survey applications of advanced statistical techniques, including model-based analysis approaches. Designed for readers working in a wide array of disciplines who use survey data in their work, this book also provides a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. A guide to the applied statistical analysis and interpretation of survey data, it contains many examples and practical exercises based on major real-world survey data sets. Although the authors use Stata for most examples in the text, they offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s website: http://www.isr.umich.edu/src/smp/asda/



First Steps Out of Problem Drinking

First Steps Out of Problem Drinking Author John McMahon
ISBN-10 9780745959917
Release 2011-05-17
Pages 96
Download Link Click Here

'First Steps' is a new series of short, affordable self-help on a range of key topics. In First Steps out of Problem Drinking, John McMahon draws on extensive experience, both professionally as a university lecturer in substance abuse, and personally as a former alcoholic. He explains what makes drinking 'a problem', how this can affect your life and your health, and how you can change things for the better. Other titles in the First Steps series include: Anxiety, Bereavement, Depression, Eating Disorders and Gambling.



First steps in statistics

First steps in statistics Author Daniel B. Wright
ISBN-10 0761951636
Release 2002-03-13
Pages 147
Download Link Click Here

First Steps in Statistics is an introduction to the most common statistics used and taught on first-year research methods courses and is designed to map onto a ten- or fifteen-week module. Coverage includes: descriptive statistics t Tests ANOVAs correlations regressions Chi-Squared test graphing data Carefully chosen examples are used to illustrate each test, and there is particular care in conveying conceptual aspects. There are also special chapters dedicated to the role of hypothesis testing, sampling, and making graphs. Each chapter includes several exercises answers to which can be supplied free to adopters upon request. A list of further reading to guide the student comfortably through their first experience of doing basic statistics and playing with data is also provided.



Outlook 2000

Outlook 2000 Author
ISBN-10 UIUC:30112104408650
Release 1990
Pages 135
Download Link Click Here

Presents revised Bureau of Labor Statistics Employment projections for the year 2000.



Probability Theory and Mathematical Statistics

Probability Theory and Mathematical Statistics Author B. Grigelionis
ISBN-10 9067641308
Release 1991-11-01
Pages 1
Download Link Click Here

These Proceedings, published in two volumes contain the invited lectures and some selected short communications by international scientists which were presented at the Vth International Vilnius Conference on Probability Theory and Mathematical Statistics, Vilnius, Lithuania, 25 June--1 July 1989. Only available as a 2-volume set The main topics of presented papers cover the contempory techniques and results in limit theorems of probability and mathematical statistics, theory of Markov processes, martingales, random fields, stochastic physics, stochastic evolution equations, probability distributions on functional spaces and probabilistic number theory. In addition papers of leading specialists in quantum probability are included.



Fundamental Statistics for the Social and Behavioral Sciences

Fundamental Statistics for the Social and Behavioral Sciences Author Howard T. Tokunaga
ISBN-10 9781483318806
Release 2015-01-29
Pages 816
Download Link Click Here

This thematically-based textbook places statistics within the research process, illustrating how statistics are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret the results of statistical analyses in light of a study’s research hypothesis and to communicate their results and interpretations to a broader audience. Featuring accessible writing and well-integrated research examples, Fundamental Statistics for the Social and Behavioral Sciences by Howard T. Tokunaga is designed to help readers develop an appreciation of how statistics are applied to topics and questions of interest, gain an appreciation of issues related to the use of statistics, and enhance their understanding of the research process and the role of statistics within it.



How to Solve It

How to Solve It Author G. Polya
ISBN-10 9781400828678
Release 2014-10-26
Pages 288
Download Link Click Here

A perennial bestseller by eminent mathematician G. Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be "reasoned" out—from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft—indeed, brilliant—instructions on stripping away irrelevancies and going straight to the heart of the problem.



5 Steps to a 5 AP Statistics

5 Steps to a 5 AP Statistics Author Duane C Hinders
ISBN-10 9780071431453
Release 2003-08-01
Pages 288
Download Link Click Here

For the more than one million students taking the AP exams each year Boxed quotes offering advice from students who have aced the exams and from AP teachers and college professors Sample tests that closely simulate real exams Review material based on the contents of the most recent tests Icons highlighting important facts, vocabulary, and frequently asked questions Websites and links to valuable online test resources, along with author e-mail addresses for students with follow-up questions Authors who are either AP course instructors or exam developers



An Introduction to Statistical Concepts

An Introduction to Statistical Concepts Author Debbie L Hahs-Vaughn
ISBN-10 9781136490125
Release 2013-06-19
Pages 840
Download Link Click Here

This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.



Causal Inference for Statistics Social and Biomedical Sciences

Causal Inference for Statistics  Social  and Biomedical Sciences Author Guido W. Imbens
ISBN-10 9781316094396
Release 2015-04-06
Pages
Download Link Click Here

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.



The Elements of Statistical Learning

The Elements of Statistical Learning Author Trevor Hastie
ISBN-10 9780387216065
Release 2013-11-11
Pages 536
Download Link Click Here

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.