Edition:- 1998
Author:- Larry J. Stephens
Publisher:- McGraw-Hill 1998
Size:- 4.17 MB
Page:- 380 Pages
Price:- US$ $29.95
ISBN:- 0070612595
Features:- Master beginning statistics with Schaum's--the high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams!
Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's!
If you don't have a lot of time but want to excel in class, this book helps you:
Brush up before tests
Find answers fast
Study quickly and more effectively
Get the big picture without spending hours poring over lengthy textbooks
Schaum's Outlines give you the information your teachers expect you to know in a handy and succinct format--without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's let you study at your own pace and remind you of all the important facts you need to remember--fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams.
Inside, you will find:
Easy-to-understand explanations of all elementary statistics concepts
Fully solved problems, with step-by-step solutions
Hundreds of additional practice problems, with answers supplied
Up-to-date coverage of statistics applications to many subjects
If you want top grades and thorough understanding of beginning statistics, this powerful study tool is the best tutor you can have!
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Edition:- 4th Edition, 2009
Author:- Olive Jean Dunn, Virginia A. Clark
Publisher:- Wiley
Size:- 12.08 MB
Page:- 272 pages
Price:- US$ $29.95
ISBN:- 0470248793
Features:- New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences
In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical tools, such as sampling, random assignment, and survival analysis.
Continuing the tradition of its predecessor, this new edition outlines a thorough discussion of different kinds of studies and guides readers through the important, related decision-making processes such as determining what information is needed and planning the collections process. The book equips readers with the knowledge to carry out these practices by explaining the various types of studies that are commonly conducted in the fields of medical and public health, and how the level of evidence varies depending on the area of research. Data screening and data entry into statistical programs is explained and accompanied by illustrations of statistical analyses and graphs. Additional features of the Fourth Edition include:
A new chapter on data collection that outlines the initial steps in planning biomedical and public health studies
A new chapter on nonparametric statistics that includes a discussion and application of the Sign test, the Wilcoxon Signed Rank test, and the Wilcoxon Rank Sum test and its relationship to the Mann-Whitney U test
An updated introduction to survival analysis that includes the Kaplan Meier method for graphing the survival function and a brief introduction to tests for comparing survival functions
Incorporation of modern statistical software, such as SAS, Stata, SPSS, and Minitab into the presented discussion of data analysis
Updated references at the end of each chapter
Basic Statistics, Fourth Edition is an ideal book for courses on biostatistics, medicine, and public health at the upper-undergraduate and graduate levels. It is also appropriate as a reference for researchers and practitioners who would like to refresh their fundamental understanding of statistical techniques.
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Edition:- 2nd edition (April 29, 2002)
Author:- Antony Stewart
Publisher:- Radcliffe Publishing Ltd
Size:- 6.52 MB
Page:- 144 pages
Price:- US$ $29.95
ISBN:- 1857755898
Features:- Most healthcare professionals need to be able to read and understand clinical evidence, and make a judgment on what treatments are effective. To do this, they need a basic grounding in statistics and epidemiology. These are areas which many people find hard to understand, fear or find distinctly uncomfortable. However, this book aims to help readers by stimulating their interest and helping them understand the basics quickly and simply. It provides doctors, nurses, health managers, researchers and students with a concise, practical guide. This straightforward primer in basic statistics emphasises its practical use in epidemiology and public health, providing understanding of essential topics such as study design, data analysis and statistical methods used in the execution of medical research. Clearly worded and assuming no prior knowledge, it gives full step-by-step guidance on performing statistical calculations. Illustrated by numerous examples, and containing exercises with detailed answers, it should help readers grasp the main points of these complex subjects with ease.
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Edition:- 2009
Author:- Rand R. Wilcox
Publisher:- Oxford University Press, USA
Size:- 12.5 MB
Page:- 344 pages
Price:- US$ $29.95
ISBN:- 0195315103
Features:- This introductory statistics textbook for non-statisticians covers basic principles, concepts, and methods routinely used in applied research. What sets this text apart is the incorporation of the many advances and insights from the last half century when explaining basic principles. These advances provide a foundation for vastly improving our ability to detect and describe differences among groups and associations among variables and provide a deeper and more accurate sense of when basic methods perform well and when they fail. Assuming no prior training, Wilcox introduces students to basic principles and concepts in a simple manner that makes these advances and insights, as well as standard ideas and methods, easy to understand and appreciate.
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Edition:- 3 edition (August 28, 2006)
Author:- B. S. Everitt
Publisher:- Cambridge University Press
Size:- 4.07 MB
Page:- 442 pages
Price:- US$ $29.95
ISBN:- 0521690277
Features:- If you use statistics and need easy access to simple, reliable definitions and explanations of modern statistical concepts, then look no further than this dictionary. Over 3600 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational aspects. Entries are provided for standard and specialized statistical software. In addition, short biographies of over 100 important statisticians are given. Definitions provide enough mathematical detail to clarify concepts and give standard formulae when these are helpful. The majority of definitions then give a reference to a book or article where the user can seek further or more specialized information, and many are accompanied by graphical material to aid understanding.
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Edition:-
Author:- John Tabak
Publisher:- Checkmark Books
Size:- MB 1.3 MB
Page:- 226
Price:- US$ $29.95
ISBN:- 0816062315
Features:- Some types of mathematics are as old as the written word. Geometry is probably older. We have written records from cultures that arose early in world history in which we can find geometry problems and solutions. Ancient scholars were working on geometry even as they were developing a system of writing to express their geometric insights. We can also point to cultures that never developed their own written language but did develop their own arithmetic. At least in some cultures, ’rithmetic is the oldest of the three Rs.
Arithmetic and geometry are branches of knowledge that concern aspects of our perception—number and shape—that are both abstract and concrete. For example, three birds and three books are both concrete manifestations of the abstract idea of the number 3. Similarly, we all recognize that soccer balls and bubbles have something in common: Both are concrete manifestations of the abstract idea of a sphere. These “simple” observations have been made by many people living in many different cultures at many different times in our history. Our ancestors may have begun to think about geometry and arithmetic almost as soon as they began to think at all.
Probability is different. Unlike geometry and arithmetic, whose origins lie in prehistoric times, the theory of probability is a comparatively recent discovery. We know when probability, as a branch of mathematics, was discovered. The theory of probability has its origins in the Renaissance with the work of Girolamo Cardano and later Galileo Galilei, but their work had little impact on those who lived later. The investigation of probability begins in earnest with an exchange of letters conducted by two French mathematicians, Pierre de Fermat and Blaise Pascal. Mathematicians have been studying probability ever since.
One might think that the discovery of a new branch of mathematics means the solution of a new and difficult equation or the discovery of a new and exotic geometric shape. For probability, however, this is false. Many of the solutions to important problems early in the history of probability involved little more than simple arithmetic. This is not to say that just anyone could have solved these problems. These “simple” problems challenged some of the
best minds of the day, because despite the elementary arithmetic involved in their solution, the concepts on which the solutions were based were new and challenging.
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Edition:- 2010-05-17
Author:-
Publisher:- Wiley
Size:- 2MB
Page:- 264 pages
Price:- US$ $29.95
ISBN:- 0470059850
Features:- All new medicines and devices undergo early phase trials to assess, interpret and better understand their efficacy, tolerability and safety. An Introduction to Statistics in Early Phase Trials describes the practical design and analysis of these important early phase clinical trials and provides the crucial statistical basis for their interpretation. It clearly and concisely provides an overview of the most common types of trials undertaken in early phase clinical research and explains the different methodologies used. The impact of statistical technologies on clinical development and the statistical and methodological basis for making clinical and investment decisions are also explained.
* Conveys key ideas in a concise manner understandable by non-statisticians
* Explains how to optimise designs in a constrained or fixed resource setting
* Discusses decision making criteria at the end of Phase II trials
* Highlights practical day-to-day issues and reporting of early phase trials
An Introduction to Statistics in Early Phase Trials is an essential guide for all researchers working in early phase clinical trial development, from clinical pharmacologists and pharmacokineticists through to clinical investigators and medical statisticians. It is also a valuable reference for teachers and students of pharmaceutical medicine learning about the design and analysis of clinical trials.
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Edition:- 2005
Author:- Brian Everitt, David Howell
Publisher:- Wiley
Size:- MB 4.59 / 4.62 / 4.55 / 4.10 Mb
Page:- 2352 pages
Price:- US$ $29.95
ISBN:- 0470860804
Features:- The Encyclopedia of Statistics in Behavioral Science encompasses the refined statistical concepts and techniques that are essential to the advancement in psychology and its ever-widening fields of application.
Providing comprehensive accounts drawn from the huge expansion of statistical methodologies in the behavioral sciences, highlighting new techniques and developments from the past decade.
Up-to-date coverage of developing fields including neuroscience, behavioral genetics, decision learning and cognitive science.
Containing over 600 articles and over 400 contributions from eminent psychologists and statisticians world-wide.
Emphasis on practical, non-technical methods with wide ranging application.
Extensively cross-referenced to ensure fast and accurate access to available information
Representing an invaluable addition to both the psychological and statistical literature, the Encyclopedia of Statistics in Behavioral Scienceforms an essential reference work for researchers, educators and students in the fields of applied psychology, sociology, market research, consumer behavior, management science, decision making and human resource management.
For further details please visit: www.wiley.com/go/eosbs
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Edition:- 1 edition (March 24, 2006)
Author:- Robert Ho
Publisher:- Chapman & Hall/CRC
Size:- MB
Page:- 424 pages
Price:- US$ $29.95
ISBN:- 1584886021
Features:-
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; | ISBN: | | PDF | | 36 Mb
This Handbook describe all over about Univariate and Multivariate analysis including the example problem and solved it with SPSS. The descpription is very clear and easy to understand. This is the Excellent book.
The main strengths of the book are: (a) its hands-on approach, (b) the choice of a user-friendly software to teach how to apply statistical methods, and (c) the clarity with which the statistical methods and the context of their applicability are explained. Learning to analyze data with SPSS with this handbook is very easy even for those rusty in their introductory statistical background. The reader that completes the book is ready to use the SPSS manuals available elsewhere. The index is very useful. …The authors do indeed provide clear guidelines to both the execution of the specific statistical tests with SPSS and the research designs for which they are relevant.
-Juana Sanchez, University of California at Los Angeles, Journal of Statistical Software, Vol. 16, July 2006
The main strengths of the book are: (a) its hands-on approach, (b) the choice of a user-friendly software to teach how to apply statistical methods, and (c) the clarity with which the statistical methods and the context of their applicability are explained. Learning to analyze data with SPSS with this handbook is very easy even for those rusty in their introductory statistical background. The reader that completes the book is ready to use the SPSS manuals available elsewhere. The index is very useful. …The authors do indeed provide clear guidelines to both the execution of the specific statistical tests with SPSS and the research designs for which they are relevant.
—Juana Sanchez, University of California, Los Angeles, Journal of Statistical Software, Vol. 16, July 2006
This hardback covers most statistical methods provided by SPSS Base software in an easily understood manner, due in part to its liberal use of SPSS output and screenshots. … The inclusion of SPSS syntax is a strong selling point, as well as the focus on interpretation of SPSS output. It is an excellent choice for graduate students and researchers outside the statistics community who use SPSS …
—J. Wade Davis, University of Missouri, The American Statistician, August 2008
… main strengths are the choice of easy-to-use software to apply statistical methods and the clarity of explanations. Learning to analyse data with SPSS with this handbook is very easy even for those who are rusty … . I found no typological errors … author’s aims have been achieved. This is the best book I have found for demonstrating statistical methods with SPSS. I recommend it highly for all…
—Venkata Putcha, Kings College, London, UK
…The click-by-click instructions would clearly be useful for beginners to SPSS … The examples and methods all have a strong social science flavor, which is consistent with the aims of the book. … This book would therefore seem to be most appropriate for statisticians or practitioners in the social sciences … the book can [also] help more experienced SPSS users who want to learn to write syntax files. …
—Biometrics, December 2006
Table of Content:
1. Inferential Statistics and Test Selection
2. Introduction to SPSS
3. Multiple Response
4. T-Test for Independent Groups
5. Paired-Samples T-Test
6. One-Way Analysis of Variance, with Post Hoc Comparisons
7. Factorial Analysis of Variance
8. General Linear Model (GLM) Multivariate Analysis
9. General Linear Model: Repeated Measures Analysis
10. Correlation
11. Linear Regression
12. Factor Analysis
13. Reliability
14. Multiple Regression
15. Structural Equation Modeling
16. Nonparametric Tests
and others....
Edition:- 2002
Author:-
Publisher:- Wiley-Interscience
Size:- 13.3 MB
Page:- 738 pages
Price:- US$ $29.95
ISBN:- 0471418897
Features:- When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline.
# Cluster analysis
# Multidimensional scaling
# Correspondence analysis
# Biplots Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.
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Author:-
Publisher:-
Size:- MB
Page:-
Price:- US$ $29.95
ISBN:-
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CRC | 2002 | ISBN: 082470763X | 384 pages | PDF | 13,9 MB
Review
We can recommend this book as a reference which can help different groups to understand current methodologies and applications of statistics in drug industry. It provides a nice and clearly structured overview on each topic and may lower potential barriers for further studying each area.
-ISCB News, December 2003
…a detailed examination of the issues and practices of this area of applied statistics.
-Journal of Mathematical Psychology
…a detailed examination of the issues and practices of this area of applied statistics.
-Journal of Mathematical Psychology
Product Description
Temple Univ., Philadelphia, PA. Reference for pharmaceutical scientists and biostaticians. Focuses on biopharmaceutical statistical applications that commonly occur during various stages of pharmaceutical research and development. Expanded-outline format.
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To download this book click below DOWNLOAD Alvin C. Rencher, "Methods of Multivariate Analysis" (2nd edition)
Wiley-Interscience | ISBN 0471418897 | 2002 Year | linked PNG-files | 40 Mb | 738 Pages
A primer on the analysis of multiple variables for students and scientists alike "This book strikes a nice balance between meeting the needs of statistics majors and students in other fields. The discussion of each multivariate technique is straightforward and quite comprehensive. This textbook is likely to become a useful reference for students in their future work." andmdash; Journal of the American Statistical Association "In this well-written and interesting book, Rencher has done a great job in presenting intuitive and innovative explanations of some of the otherwise difficult concepts." andmdash; CHOICE "This book is excellent for an introductory course in multivariate analysis for students with minimal background in mathematics and statistics." andmdash; Technometrics "Excellent introduction to standard topics in multivariate analysis." andmdash; American Mathematical Monthly When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Renchers Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: Cluster analysis Multidimensional scaling Correspondence analysis Biplots Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians. Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen.
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