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Intro stats.
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ISBN: 0321315200 9780321315205 Year: 2006 Publisher: Boston : Pearson,

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The short, teachable chapters and approachable, colloquial style ofIntro Statshas made it the most successful first edition Statistics text. Now a hallmark feature,Intro Statsteaches readers how tothinkstatistically,showproper application of techniques, andtellothers what they have learned. What Can Go Wrong?sections in each chapter give students the tools to detect statistical errors and debunk misuses of statistics, whether intentional or not. Exploring and Understanding Data:Stats Starts Here; Data; Displaying Categorical Data; Displaying Quantitative Data; Describing Distributions Numerically; The Standard Deviation as a Ruler and the Normal Model.Exploring Relationships between Variables:Scatterplots, Association, and Correlation; Linear Regression; Regression Wisdom; Re-Expressing Data: It's easier than you think.Gathering Data:Understanding Randomness; Sample Surveys; Experiments.Randomness and Probability:From Randomness to Probability (LLN); Probability Rules!; Random Variables; Probability Models (Binomial).From the Data at Hand to the World at Large:Sampling Distribution Models (CLT); Confidence Intervals for Proportions; Testing Hypotheses about Proportions; More About Tests; Comparing Two Proportions.Learning About the World:Inferences About Means; Comparing Means; Paired Samples and Blocks.Inference when Variables are Related:Comparing Counts (Chi Square); Inferences for Regression; Analysis of Variance; Multiple Regression. For all readers interested in introductory statistics

Nonparametric inference
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ISBN: 981270034X 9789812700346 Year: 2007 Publisher: Hackensack: World scientific,

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Mathematics : a second start.
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ISBN: 0857099604 1898563047 9780857099600 9781898563044 Year: 2002 Publisher: Oxford Woodhead publishing

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Provides less mathematically minded students with a gentle introduction to basic mathematics and some more advanced topics. Covering algebra, trigonometry, calculus and statistics, it manages to combine clarity of presentation with liveliness of style and sympathy for students' needs. It is straightforward, pragmatic and packed full of illustrative examples, exercises and self-test questions. The essentials of formal mathematics are lucidly explained, with terms such as 'integral' or 'differential equation' fully clarified.Provides a gentle introduction to basic mathematics and

Generalized linear models: an applied approach
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ISBN: 0205377939 Year: 2004 Publisher: Boston Pearson

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Nonparametrics : statistical methods based on ranks
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ISBN: 9780387352121 0387352120 Year: 2006 Publisher: New York: Springer,

Time series analysis
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ISBN: 9781420059670 142005967X Year: 2008 Publisher: Boca Raton: Chapman & Hall/CRC,

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Quantitative methods : for business, management & finance
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ISBN: 9780230218246 0230218245 Year: 2010 Publisher: Basingstoke: Palgrave MacMillan,

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Statistics for the social sciences
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ISBN: 0803951450 Year: 1995 Publisher: Thousand Oaks Sage

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Essential statistics
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ISBN: 1584880074 Year: 2001 Publisher: Boca Raton Chapman and Hall / CRC

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Numerical methods of statistics
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ISBN: 0521791685 Year: 2001 Publisher: Cambridge : Cambridge university press,

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This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods; for mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book provides a basic background in numerical analysis emphasizing issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats application of numerical tools: numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. The book concludes with an examination of sorting, FFT and the application of other 'fast' algorithms to statistics. Each chapter contains exercises that range from the simple to research problems, as well as examples of the methods at work. Most of the examples are accompanied by demonstration code available on a floppy disk included with the book.

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