Analytical Foundations Of Physical Statistics
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Analytical Foundations Of Physical Statistics
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Author : Aleksandr Ja Chinčin
language : en
Publisher:
Release Date : 1961
Analytical Foundations Of Physical Statistics written by Aleksandr Ja Chinčin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with categories.
Analytical Foundations Of Physical Statistics
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Author : Aleksandr I︠A︡kovlevich Khinchin
language : en
Publisher: M.E. Sharpe
Release Date : 1961
Analytical Foundations Of Physical Statistics written by Aleksandr I︠A︡kovlevich Khinchin and has been published by M.E. Sharpe this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with Science categories.
Analytical Foundations Of Physical Statistics
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Author : A. I. Khinchin
language : it
Publisher:
Release Date : 1961
Analytical Foundations Of Physical Statistics written by A. I. Khinchin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with categories.
Mathematical Foundations Of Statistical Mechanics
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Author : Aleksandr I?Akovlevich Khinchin
language : en
Publisher: Courier Corporation
Release Date : 1949-01-01
Mathematical Foundations Of Statistical Mechanics written by Aleksandr I?Akovlevich Khinchin and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1949-01-01 with Mathematics categories.
Phase space, ergodic problems, central limit theorem, dispersion and distribution of sum functions. Chapters include Geometry and Kinematics of the Phase Space; Ergodic Problem; Reduction to the Problem of the Theory of Probability; Application of the Central Limit Theorem; Ideal Monatomic Gas; The Foundation of Thermodynamics; and more.
Introduction To Statistical Analysis Of Laboratory Data
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Author : Alfred Bartolucci
language : en
Publisher: John Wiley & Sons
Release Date : 2015-12-02
Introduction To Statistical Analysis Of Laboratory Data written by Alfred Bartolucci and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-02 with Mathematics categories.
Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions
The Physical Foundation Of Biology
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Author : Walter M. Elsasser
language : en
Publisher: Elsevier
Release Date : 2013-10-22
The Physical Foundation Of Biology written by Walter M. Elsasser and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Nature categories.
The Physical Foundation of Biology: An Analytical Study offers a detailed account of the relationship between physics and biology. The discussion is based on a threefold development in theoretical science: the theory of automata (often designated as computers); the theory of information (mainly developed in communication engineering); and the theory of microscopic measurement in the atomic and molecular domain (based largely on quantum mechanics). This book is comprised of five chapters and begins with an overview of the physical foundation of biology, paying particular attention to preformationism and the theory of epigenesis. The first chapter explores feedback and control by comparing the control apparatus of a more differentiated organism, the nervous system, with the corresponding achievements of electronic engineering. The reader is then introduced to the theory of information, focusing on the idea that certain quantitative aspects of the information content of messages can be separated from the specific physical features of the device sending the message. The following chapters deal with the importance of storage or memory devices for a complex functional mechanism; the compatibility of biotonic laws with the ordinary laws of physics; and physical interpretation of the theory of microscopic processes. This monograph will be of interest to physicists, biologists, and chemists.
Statistical Modelling And Sports Business Analytics
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Author : Vanessa Ratten
language : en
Publisher: Routledge
Release Date : 2020-05-11
Statistical Modelling And Sports Business Analytics written by Vanessa Ratten and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-11 with Business & Economics categories.
This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.
Foundations Of Complex Systems
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Author : Gregoire Nicolis
language : en
Publisher: World Scientific
Release Date : 2007
Foundations Of Complex Systems written by Gregoire Nicolis and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Science categories.
A geometric process is a simple monotone process that was first introduced by the author in 1988. It is a generalization of renewal process. This book captures the extensive research work on geometric processes that has been done since then in both probability and statistics theory and various applications. Some results are published for the first time. A reference book for researchers and a handbook for practioners, it is also a useful textbook for postgraduate or senior undergraduate students.
Foundations Of Data Science
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Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23
Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
Data Science Foundations
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Author : Fionn Murtagh
language : en
Publisher: CRC Press
Release Date : 2017-09-22
Data Science Foundations written by Fionn Murtagh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Computers categories.
"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods...a very useful text and I would certainly use it in my teaching." - Mark Girolami, Warwick University Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.