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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: David S. Moore
Publisher: Palgrave Macmillan
ISBN: 1429224266
Category : Mathematics
Languages : en
Pages : 975
Get Book Here
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: David S. Moore
Publisher: Macmillan
ISBN: 1429224606
Category :
Languages : en
Pages : 978
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Book Description
The Basic Practice of Statistics has become a bestselling textbook 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. With David Moore’s pioneering "data analysis" approach (emphasizing statistical thinking over computation), engaging narrative and case studies, current problems and exercises, and an accessible level of mathematics, there is no more effective textbook for showing students what working statisticians do and what accurate interpretations of data can reveal about the world we live in. In the new edition, you will once again see how everything fits together. As always, Moore’s text offers balanced content, beginning with data analysis, then covering probability and inference in the context of statistics as a whole. It provides a wealth of opportunities for students to work with data from a wide range of disciplines and real-world settings, emphasizing the big ideas of statistics in the context of learning specific skills used by professional statisticians. Thoroughly updated throughout, the new edition offers new content, features, cases, data sources, and exercises, plus new media support for instructors and students—including the latest version of the widely-adopted StatsPortal. The full picture of the contemporary practice of statistics has never been so captivatingly presented to an uninitiated audience.
Author: Ed Bowker Staff
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274
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Book Description
Author: Jim Grayson
Publisher: SAS Institute
ISBN: 1629599565
Category : Computers
Languages : en
Pages : 375
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Book Description
Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed. Make more informed decisions from your data using this newest JMP book.
Author: Jordan Bakerman
Publisher:
ISBN: 9781642957150
Category : Computers
Languages : en
Pages : 258
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Book Description
SAS Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.
Author: David S. Moore
Publisher: W H Freeman & Company
ISBN: 9781429216227
Category : Mathematics
Languages : en
Pages : 709
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Book Description
The new Sixth Edition brings the acclaimed IPS approach to a new generation, with a number of enhancements in the text and with breakthrough media tools for instructors and students. It demonstrates how statistical techniques are used to solve real-world problems, combining real data and applications with innovative pedagogy, both in the text and via electronic media. New Format Options Introduction to the Practice of Statistics, Sixth Edition is available as: • A core book containing the first 13 chapters in hardcover (1-4292-1622-0) or paperback (1-4292-1621-2). Companion chapters 14-17 are available on the book's CD and web site. • Extended Version (hardcover; includes chapters 1-15): 1-4292-1623-9
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 3310
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Book Description
Author: Bernard Rosner
Publisher: Cengage Learning
ISBN: 9781305268920
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Miro Samek
Publisher: CRC Press
ISBN: 1578201101
Category : Computers
Languages : en
Pages : 412
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Book Description
'Downright revolutionary... the title is a major understatement... 'Quantum Programming' may ultimately change the way embedded software is designed.' -- Michael Barr, Editor-in-Chief, Embedded Systems Programming magazine (Click here
Author: David M Lane
Publisher:
ISBN: 9781687894250
Category :
Languages : en
Pages : 406
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Book Description
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
