Author: Les Underhill
Publisher: Juta and Company Ltd
ISBN: 9780702138386
Category : Mathematics
Languages : en
Pages : 364
Book Description
An introduction to applied statistics, this text assumes a basic understanding of differentiation and integration.
Introstat
Author: Les Underhill
Publisher: Juta and Company Ltd
ISBN: 9780702138386
Category : Mathematics
Languages : en
Pages : 364
Book Description
An introduction to applied statistics, this text assumes a basic understanding of differentiation and integration.
Publisher: Juta and Company Ltd
ISBN: 9780702138386
Category : Mathematics
Languages : en
Pages : 364
Book Description
An introduction to applied statistics, this text assumes a basic understanding of differentiation and integration.
InfoWorld
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
InfoWorld
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
OpenIntro Statistics
Author: David Diez
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Publisher:
ISBN: 9781943450046
Category :
Languages : en
Pages :
Book Description
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Introductory Statistics 2e
Author: Barbara Illowsky
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 2106
Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 2106
Book Description
Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
An Introduction to Statistical Learning
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Author: IEEE Engineering in Medicine and Biology Society. Annual Conference
Publisher:
ISBN:
Category : Biomedical engineering
Languages : en
Pages : 538
Book Description
Publisher:
ISBN:
Category : Biomedical engineering
Languages : en
Pages : 538
Book Description
A Critic's Guide to Software for Apple and Apple-compatible Computers
Author: Phillip I. Good
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 254
Book Description
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 254
Book Description
Directory of Statistical Microcomputer Software
Author: Wayne A. Woodward
Publisher: Marcel Dekker
ISBN:
Category : Computers
Languages : en
Pages : 756
Book Description
Publisher: Marcel Dekker
ISBN:
Category : Computers
Languages : en
Pages : 756
Book Description
Directory of Statistical Microcomputer Software
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 772
Book Description
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 772
Book Description