Minitab Guide For Moore S The Basic Practice Of Statistics
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Minitab Guide For Moore S The Basic Practice Of Statistics
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Author : Betsy S. Greenberg
language : en
Publisher: W H Freeman & Company
Release Date : 1995
Minitab Guide For Moore S The Basic Practice Of Statistics written by Betsy S. Greenberg and has been published by W H Freeman & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Minitab categories.
This student minitab guide is designed to accompany the introductory statistical text, Basic Practice of Statistics.
Minitab Guide For Moore S The Basic Practice Of Statistics Second Edition
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Author : Betsy S. Greenberg
language : en
Publisher:
Release Date : 1999
Minitab Guide For Moore S The Basic Practice Of Statistics Second Edition written by Betsy S. Greenberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Minitab categories.
The Basic Practice Of Statistics
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Author : David S. Moore
language : en
Publisher: Palgrave Macmillan
Release Date : 2010
The Basic Practice Of Statistics written by David S. Moore and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematics categories.
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.
The British National Bibliography
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Author : Arthur James Wells
language : en
Publisher:
Release Date : 2009
The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Bibliography, National categories.
Linear Regression
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Author : David J. Olive
language : en
Publisher: Springer
Release Date : 2017-04-18
Linear Regression written by David J. Olive and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-18 with Mathematics categories.
This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models. There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models. This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics.
Elementary Statistics
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Author : Allan G. Bluman
language : en
Publisher:
Release Date : 2001
Elementary Statistics written by Allan G. Bluman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.
New edition of a beginning statistics text for students whose mathematical background is limited to basic algebra. Bluman (Community College of Allegheny County) uses a nontheoretical approach in which concepts are explained intuitively and are supported by examples. There are no formal proofs, and the applications include problems from business, economics, health, medicine, science, engineering, social science, education, and topics of general interest. Each of the eight chapters begins with an outline and a list of learning objectives. Contains a removable foldout of important formulas. Annotation copyrighted by Book News, Inc., Portland, OR.
Bulletin Institute Of Mathematical Statistics
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Author : Institute of Mathematical Statistics
language : en
Publisher:
Release Date : 1996
Bulletin Institute Of Mathematical Statistics written by Institute of Mathematical Statistics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Mathematical statistics categories.
The Cumulative Book Index
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Author :
language : en
Publisher:
Release Date : 1996
The Cumulative Book Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with American literature categories.
A world list of books in the English language.
Forthcoming Books
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Author : Rose Arny
language : en
Publisher:
Release Date : 2000
Forthcoming Books written by Rose Arny and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with American literature categories.
Applied Statistics With Python
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Author : Leon Kaganovskiy
language : en
Publisher: CRC Press
Release Date : 2025-03-03
Applied Statistics With Python written by Leon Kaganovskiy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Mathematics categories.
Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics courses at Touro University and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, while also being useful as a supplementary text for more advanced students. Key Features: Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as one-variable regression The book’s computational (Python) approach allows us to study Statistics much more effectively. It removes the tedium of hand/calculator computations and enables one to study more advanced topics Standardized sklearn Python package gives efficient access to machine learning topics Randomized homework as well as exams are provided in the author’s course shell on My Open Math web portal (free)