Mathematics

Pages: 656,
Specialty: Mathematics,
Publisher: Pearson,
Publication Year: 2015,
Cover: Paperback,
Dimensions: 209x254x21mm

For introductory undergraduate or graduate courses in statistics aimed at life science majors. Bringing Statistics to Life The Fifth Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorizing formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the fifth edition, randomization tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra.

Weight: 1.11 KG
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Pages: 792,
Specialty: Mathematics,
Publisher: Cengage India,
Publication Year: 2013,
Cover: Paperback,
Dimensions: 204x252x28mm

Weight: 1.14 KG
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Pages: 992,
Specialty: Mathematics,
Publisher: Cengage India,
Publication Year: 2015,
Cover: Paperback

Weight: 0.6 KG
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Pages: 458,
Specialty: Mathematics,
Publisher: Taylor & Francis,
Publication Year: 2016,
Cover: Paperback,
Dimensions: 178x254mm

A companion to Mendenhall and Sincich's Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

Weight: 0 KG
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Specialty: Mathematics,
Publisher: Cengage India,
Publication Year: 2015

Weight: 0.6 KG
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Pages: 736,
Specialty: Mathematics,
Publisher: Wiley,
Publication Year: 2013,
Cover: Hardback,
Dimensions: 223.52x279.4x35.56mm

This 1 st edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics, 2e utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods. The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.

Weight: 1.68 KG
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Pages: 736,
Specialty: Mathematics,
Publisher: Wiley,
Publication Year: 2014,
Cover: Paperback,
Dimensions: 190.5x231.14x25.4mm

Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods. New What Will We Learn opening paragraphs set the stage for the material being discussed. Using Statistics Wisely boxes summarize key lessons. In addition, Statistics in Context sections give business professionals an understanding of applications in which a statistical approach to variation is needed.

Weight: 1.02 KG
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Specialty: Mathematics,
Publisher: Wiley,
Publication Year: 2010

Weight: 1 KG
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Pages: 675,
Specialty: Mathematics,
Publisher: Taylor & Francis,
Publication Year: 2016,
Cover: Hardback,
Dimensions: 182.88x256.54x38.1mm

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors-all leaders in the statistics community-introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition * Four new chapters on nonparametric modeling * Coverage of weakly informative priors and boundary-avoiding priors * Updated discussion of cross-validation and predictive information criteria * Improved convergence monitoring and effective sample size calculations for iterative simulation * Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation * New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book's web page.

Weight: 1.32 KG
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