The Basic Practice of Statistics S-Plus Manual PDF Download

Author: Laura Chihara
Publisher: Macmillan
ISBN: 9780716758853
Category : Mathematics
Languages : en
Pages : 204

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Author: Fred Hoppe
Publisher: Macmillan
ISBN: 9780716758914
Category : Mathematics
Languages : en
Pages : 244

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Author: Michael A. Fligner
Publisher: Macmillan
ISBN: 9780716758860
Category : Juvenile Nonfiction
Languages : en
Pages : 228

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Author: David K. Neal
Publisher: Macmillan
ISBN: 9780716758839
Category : Mathematics
Languages : en
Pages : 172

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Author: David S. Moore
Publisher: Macmillan
ISBN: 9780716758877
Category : Mathematics
Languages : en
Pages : 268

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Author: Linda Sorenson
Publisher: Macmillan
ISBN: 9780716758846
Category : Mathematics
Languages : en
Pages : 148

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Book Description

Author: Ed Bowker Staff
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274

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Book Description

Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1464119392
Category : Mathematics
Languages : en
Pages : 988

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Book Description
David Moore pioneered the "data analysis" (conceptual) approach for the introductory statistics textbooks. Moore’s The Basic Practice of Statistics became the market-leading bestseller by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course’s relevance and difficulties head on.This new Sixth Edition offers the same crystal clear writing and use of real data as past editions, while incorporating new and updated examples and exercises, and presenting new features to support the learning and teaching goals for today’s generation of students.

Author: David S. Moore
Publisher: Palgrave Macmillan
ISBN: 1429224266
Category : Mathematics
Languages : en
Pages : 975

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Book Description
This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.

Author:
Publisher: Elsevier
ISBN: 0080461174
Category : Mathematics
Languages : en
Pages : 1062

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Book Description
This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Critical thinking on causal effects Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and Biostatistics