John E. Freund's Mathematical Statistics PDF Download
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Author: John E. Freund
Publisher: Pearson Educación
ISBN: 9789701703892
Category : Mathematics
Languages : en
Pages : 644
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Book Description
For a two-semester or a three-quarter calculus-based Introduction to the Mathematics of Statistics course. This classic, calculus-based introduction to the theory - and application - of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the state-of-the-art in statistical thinking, the teaching of statistics, and current practices - including the use of the computer. *NEW - Places greater emphasis on the use of computers in performing statistical calculations. *NEW - Includes new exercises - many of which require the use of a computer. *NEW - Expands coverage of Analysis of Variance to include the two-way analysis-of-variance model with interaction and a discussion of multiple comparisons. *NEW - Adds appendices which summarize the properties of the special probability distributions and density functions that appear in the text. *Places greater emphasis on the use of computers in performing statistical calculations. *Comprehensive coverage of statistical theories. *Features more than 1,100 problems and exercises - divided into theory and applications.
Author: John E. Freund
Publisher: Pearson Educación
ISBN: 9789701703892
Category : Mathematics
Languages : en
Pages : 644
Get Book Here
Book Description
For a two-semester or a three-quarter calculus-based Introduction to the Mathematics of Statistics course. This classic, calculus-based introduction to the theory - and application - of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the state-of-the-art in statistical thinking, the teaching of statistics, and current practices - including the use of the computer. *NEW - Places greater emphasis on the use of computers in performing statistical calculations. *NEW - Includes new exercises - many of which require the use of a computer. *NEW - Expands coverage of Analysis of Variance to include the two-way analysis-of-variance model with interaction and a discussion of multiple comparisons. *NEW - Adds appendices which summarize the properties of the special probability distributions and density functions that appear in the text. *Places greater emphasis on the use of computers in performing statistical calculations. *Comprehensive coverage of statistical theories. *Features more than 1,100 problems and exercises - divided into theory and applications.
Author: Neil J. Salkind
Publisher: Pearson Educación
ISBN: 9789701702345
Category : Education
Languages : en
Pages : 406
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Book Description
Book's content and also references for related works of fiction, and other material of a more informal nature. For Psychologists, Management and Businesspersons or other social or behavioral science-related professionals who are looking to sharpen their understanding of research methods.
Author: I. Paenson
Publisher: Elsevier
ISBN: 1483296210
Category : Mathematics
Languages : en
Pages : 556
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Book Description
Systematic Glossary of the Terminology of Statistical Methods
Author:
Publisher: Bib. Orton IICA / CATIE
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
Author: María Isabel Fernández Aranda
Publisher: Lulu.com
ISBN: 1291408967
Category : Science
Languages : en
Pages : 86
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Book Description
Iniciamos este libro con algunos conceptos básicos y elementales para una comprensión real e intuitiva de lo que es la Estadística Aplicada, sobre todo su aplicación a los problemas de la Enfermería y especialmente la especialidad de Matrona.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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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.
Author: Barbara Illowsky
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 2106
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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.
Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 462
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Book Description
Author: Stephen Polgar
Publisher: Elsevier Health Sciences
ISBN: 0702074926
Category : Medical
Languages : en
Pages : 288
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Book Description
Now in its 7th edition this textbook is a must have for any health professional student. It provides a comprehensive overview of health research, in a concise and easy to read format using examples directly related to the health sciences. It helps students understand health research models, and how research goes on to inform and improve evidence-based clinical practice. For practitioners it provides guidance on published research in journals, providing an essential tool to keep their practice evidence based. Uses simple language and demystifies research jargon Covers both quantitative and qualitative research methodology, taking a very practical approach Provides an extensive glossary for better understanding of the language of research Fully updated online interactive self-assessment tests including MCQs, true or false questions and short answer questions.
Author:
Publisher:
ISBN:
Category : America
Languages : es
Pages : 858
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Book Description
