Phyton

Sunday, December 7, 2008

Biostatistics Books

Introductory Bio statistics





Description:

Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises. * Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers. * Contains notes on computations at the end of most chapters, covering the use of Excel, SAS, and others.





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BIO EQUIVALENCE AND STATISTICS IN CLINICAL PHARMACOLOGY
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Description:

Establishing techniques utilised in the categorization of bioequivalence, this impact describes the ingest of statistics in clinical medicine studies of safety, ECG monitoring, efficacy, and accumulation pharmacokinetics. The authors shew think design, analysis, and rendering of accumulation using real-data examples from bioequivalence and clinical medicine studies. They feature a panoramic arrange of datasets, as substantially as commando and SPLUS cipher and investigate restrictive considerations regarding the covering of statistics in take development. This work, as expressed in a past supply of Biometrics, "provides a start for every scientists from domain who are hunting to do investigate in this Atlantic of scrutiny applications."

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CLINICAL DATA MANAGEMENT





Description:
Extensively revised and updated, with the constituent of newborn chapters and authors, this long-awaited ordinal edition covers every aspects of clinical accumulation management. Giving info of the economical clinical accumulation direction procedures required to fulfill both joint objectives and calibre audits by restrictive authorities, this book is opportune and an essential effort to the literature.
The volume:
* is cursive by well-known and old authors in this area
* provides newborn approaches to earth topics in clinical accumulation management
* contains newborn chapters on systems code validation, database organisation and action measures.

It module be valuable to anyone in the earth within the caregiver industry, and to every biomedical professionals employed in clinical research
.

MULTIVARIATE STATISTICS: EXERCISES AND SOLUTIONS





Description:


The authors inform tools and concepts of multivariate accumulation psychotherapy by effectuation of exercises and their solutions. The prototypal conception is devoted to illustration techniques. The ordinal conception deals with multivariate haphazard variables and presents the account of estimators and tests for different applicatory situations. The terminal conception introduces a panoramic difference of exercises in practical multivariate accumulation analysis. The aggregation demonstrates the covering of ultimate stone and base multivariate methods in actual chronicle situations. It contains nudity 234 resolved exercises which crapper support
a Lincoln pedagogue in environment up a recent multivariate psychotherapy course. All computer-based exercises are acquirable in the R or XploRe languages. The same libraries are downloadable from the Springer unification scheme pages and from the author’s bag pages.

Handbook of Computational Statistics









The Handbook of Computational Statistics - Concepts and Methods is divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussion of current active research.

The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment.

The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data.

Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Written for:

Reseachers and students in Statistics
Keywords:

* Bioinformatics
* Computational Statistics
* EM algorithm
* Functional MRI
* MCMC
* Network Intrusion Detection
* Randon Number Generation
* Support Vector Machines

Friday, December 5, 2008

Statistics Books For Dummies

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Statistics For Dummies(Author(s):Deborah Rumsey , Format:CHM)
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Description:
This reference offers explanations of statistical ideas, techniques, formulas, and calculations, and includes examples that show how these concepts apply to your everyday life.

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: books_for_all




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Intermediate Statistics For Dummies(Author(s):Deborah, Ph.D. Rumsey Format:PDF)

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Description:

Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you'll learn in this book are the same techniques used by professionals in medical and scientific fields.

Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. Unlike regular statistics books, this guide provides full explanations of intermediate statistical ideas; computer input dissection; an extensive number of examples, tips, strategies, and warnings; and clear, concise step-by-step procedures-all in a language you can understand. You'll soon discover how to:

* Analyze data and base models off of your data
* Make predictions using regression
* Compare many means with ANOVA
* Test models using Chi-square
* Dealing with abnormal data

In addition, this book includes a list of wrong statistical conclusions and common questions that professors ask using computer output. This book also adopts a nonlinear approach, making it possible to skip to the information you need without having to read previous chapters. With Intermediate Statistics For Dummies, you'll have all the tools you need to make important decisions in all types of professional areas-from biology and engineering to business and politics!

From the Back Cover
Packed with examples, steps for problem-solving, and computer output

The fun and easy way to analyze data, build models, and get ahead in your class

Take your statistics skills to the next level! This easy-to-follow guide walks you through second-semester topics, explaining everything from t-tests and regression to ANOVA, sign tests, and fitting curves to your data. You'll see how to identify and work through problems, avoid common errors, understand the jargon - and even improve your grade with savvy strategies.

Discover how to

* Review and extend intro stat methods
* Make predictions with multiple regression
* Compare many means by using ANOVA
* Use Chi-square to test for independence
* Understand and use nonparametric statistics

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Probability For Dummies(Author(s):Deborah, Ph.D. Rumsey Format:PDF)

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Description:

Packed with practical tips and techniques for solving probability problems

Increase your chances of acing that probability exam -- or winning at the casino!

Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success!

Discover how to

* Conquer combinations and permutations
* Understand probability models from binomial to exponential
* Make good decisions using probability
* Play the odds in poker, roulette, and other games

The fun and easy way to conquer statistics and probability Probability For Dummies expands upon students intuitive understanding of the concept of probability through use of examples and clear explanations of mathematics behind this fascinating science. Included is discussion of set theory, counting, permutations and combinations, random variables, conditional probability, joint distributions, conditional expectations, gambling, and actuarial applications and probability modeling. The book also includes sample problems with a minimal reliance on complicated calculus. Packed with real-life examples and thorough explanations of math problems, students and professionals in such fields as investment banking, forensic science, and engineering will have just the straightforward, friendly guide they're looking for. Deborah J. Rumsey, PhD (Columbus, OH), is a Statistics Education Specialist and auxiliary faculty member of the Department of Statistics at Ohio State University. Her books include Statistics For Dummies (0-7645-5423-9) and the Statistics Workbook For Dummies (0-7645-8466-9).

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Statistics 4 Utterly Confused(Author: Aloyd R. jaisingh)
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