Author: Ed Bowker Staff
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274
Book Description
Books In Print 2004-2005
Author: Ed Bowker Staff
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274
Book Description
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274
Book Description
Statistics Catalog 2005
Author: Neil Thomson
Publisher:
ISBN: 9780534420451
Category :
Languages : en
Pages : 164
Book Description
Publisher:
ISBN: 9780534420451
Category :
Languages : en
Pages : 164
Book Description
Subject Guide to Books in Print
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 3310
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 3310
Book Description
The British National Bibliography
Author: Arthur James Wells
Publisher:
ISBN:
Category : Bibliography, National
Languages : en
Pages : 1008
Book Description
Publisher:
ISBN:
Category : Bibliography, National
Languages : en
Pages : 1008
Book Description
Statistical Techniques in Business and Economics
Author: Douglas A. Lind
Publisher: McGraw-Hill/Irwin
ISBN: 9780072874167
Category : Business & Economics
Languages : en
Pages : 830
Book Description
Why make statistics harder than it has to be? Lind/Marchal/Mason: STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, 11/e is a perennial market best seller due to its comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as oppose to technology or programming methods, and the eleventh edition continues as a ‘students’ text with increased emphasis on interpretation of data and results.lts.
Publisher: McGraw-Hill/Irwin
ISBN: 9780072874167
Category : Business & Economics
Languages : en
Pages : 830
Book Description
Why make statistics harder than it has to be? Lind/Marchal/Mason: STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, 11/e is a perennial market best seller due to its comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as oppose to technology or programming methods, and the eleventh edition continues as a ‘students’ text with increased emphasis on interpretation of data and results.lts.
Introduction to Statistical Quality Control
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1119657075
Category : Process control
Languages : en
Pages : 772
Book Description
"This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"--
Publisher: John Wiley & Sons
ISBN: 1119657075
Category : Process control
Languages : en
Pages : 772
Book Description
"This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"--
The Practice of Business Statistics
Author: David S. Moore
Publisher: W.H. Freeman
ISBN: 9780716788256
Category : Analysis
Languages : en
Pages : 820
Book Description
This book immerses students in the course immediately, involving them in practical, statistics-supported business decision making from the outset. Using real data to provide a context for tackling modern business problems, it introduces a range of core ideas early.
Publisher: W.H. Freeman
ISBN: 9780716788256
Category : Analysis
Languages : en
Pages : 820
Book Description
This book immerses students in the course immediately, involving them in practical, statistics-supported business decision making from the outset. Using real data to provide a context for tackling modern business problems, it introduces a range of core ideas early.
Computer Organization and Design
Author: David A. Patterson
Publisher: Elsevier
ISBN: 0123747503
Category : Computers
Languages : en
Pages : 920
Book Description
Rev. ed. of: Computer organization and design / John L. Hennessy, David A. Patterson. 1998.
Publisher: Elsevier
ISBN: 0123747503
Category : Computers
Languages : en
Pages : 920
Book Description
Rev. ed. of: Computer organization and design / John L. Hennessy, David A. Patterson. 1998.
Mathematical Statistics with Applications in R
Author: Kandethody M. Ramachandran
Publisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825
Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
Publisher: Elsevier
ISBN: 012417132X
Category : Mathematics
Languages : en
Pages : 825
Book Description
Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods
Online Statistics Education
Author: David M Lane
Publisher:
ISBN: 9781687894250
Category :
Languages : en
Pages : 406
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.
Publisher:
ISBN: 9781687894250
Category :
Languages : en
Pages : 406
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.