Author: Mario F. Triola
Publisher: Addison Wesley Longman
ISBN: 9780321229007
Category : Education
Languages : en
Pages : 286
Book Description
Student's Solutions Manual to Accompany Elementary Statistics Using the Graphing Calculator for the TI-83/84 Plus
Author: Mario F. Triola
Publisher: Addison Wesley Longman
ISBN: 9780321229007
Category : Education
Languages : en
Pages : 286
Book Description
Publisher: Addison Wesley Longman
ISBN: 9780321229007
Category : Education
Languages : en
Pages : 286
Book Description
Student's Solutions Manual
Author: Milton Wayne Loyer
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 282
Book Description
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 282
Book Description
Student's Solutions Manual
Author: Mario F. Triola
Publisher: Addison-Wesley
ISBN: 9780321369185
Category : Education
Languages : en
Pages : 292
Book Description
Publisher: Addison-Wesley
ISBN: 9780321369185
Category : Education
Languages : en
Pages : 292
Book Description
Student Solutions Manual to Accompany Atkins' Physical Chemistry 11th Edition
Author: Peter Bolgar
Publisher: Oxford University Press, USA
ISBN: 0198830084
Category : Medical
Languages : en
Pages : 285
Book Description
The Student Solutions Manual to accompany Atkins' Physical Chemistry 11th Edition provides full worked solutions to the 'a' exercises, and the odd-numbered discussion questions and problems presented in the parent book. The manual is intended for students and provides helpful comments and friendly advice to aid understanding.
Publisher: Oxford University Press, USA
ISBN: 0198830084
Category : Medical
Languages : en
Pages : 285
Book Description
The Student Solutions Manual to accompany Atkins' Physical Chemistry 11th Edition provides full worked solutions to the 'a' exercises, and the odd-numbered discussion questions and problems presented in the parent book. The manual is intended for students and provides helpful comments and friendly advice to aid understanding.
The Elements of Statistical Learning
Author: Trevor Hastie
Publisher: Springer Science & Business Media
ISBN: 0387216065
Category : Mathematics
Languages : en
Pages : 545
Book Description
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Publisher: Springer Science & Business Media
ISBN: 0387216065
Category : Mathematics
Languages : en
Pages : 545
Book Description
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Elementary Statistics
Author: Mario F. Triola
Publisher:
ISBN: 9780201859218
Category :
Languages : en
Pages : 0
Book Description
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.& This text is highly regarded because of its engaging and understandable introduction to statistics. The&author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
Publisher:
ISBN: 9780201859218
Category :
Languages : en
Pages : 0
Book Description
Addison-Wesley is proud to celebrate the Tenth Edition of Elementary Statistics.& This text is highly regarded because of its engaging and understandable introduction to statistics. The&author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.
Student Solutions Manual to accompany Introductory Statistics, 8e
Author: Prem S. Mann
Publisher: Wiley
ISBN: 9781118504109
Category : Mathematics
Languages : en
Pages : 0
Book Description
Introductory Statistics, 8th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics, 8th Edition is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach. Case studies appear in almost all chapters to provide additional illustrations of the applications of statistics in research and statistical analysis and the text contains a wealth of examples that cover a wide variety of relevant statistical topics.
Publisher: Wiley
ISBN: 9781118504109
Category : Mathematics
Languages : en
Pages : 0
Book Description
Introductory Statistics, 8th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics, 8th Edition is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach. Case studies appear in almost all chapters to provide additional illustrations of the applications of statistics in research and statistical analysis and the text contains a wealth of examples that cover a wide variety of relevant statistical topics.
Bluman, Elementary Statistics: A Step by Step Approach, © 2015, 9e, Student Edition (Reinforced Binding)
Author: Allan G. Bluman
Publisher: McGraw-Hill Education
ISBN: 9780021418251
Category : Mathematics
Languages : en
Pages : 896
Book Description
Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, eating habits, and travel and leisure. Includes print student edition
Publisher: McGraw-Hill Education
ISBN: 9780021418251
Category : Mathematics
Languages : en
Pages : 896
Book Description
Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, eating habits, and travel and leisure. Includes print student edition
Introductory Statistics
Author: Neil A. Weiss
Publisher:
ISBN: 9780536614650
Category : Statistics
Languages : en
Pages : 57
Book Description
Publisher:
ISBN: 9780536614650
Category : Statistics
Languages : en
Pages : 57
Book Description
Instructor's Solutions Manual to Accompany Elementary Statistics
Author: Bluman
Publisher: McGraw-Hill Europe
ISBN: 9780072549140
Category : Mathematics
Languages : en
Pages : 260
Book Description
Publisher: McGraw-Hill Europe
ISBN: 9780072549140
Category : Mathematics
Languages : en
Pages : 260
Book Description