Statistical Foundations Reasoning And Inference
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Statistical Foundations Reasoning And Inference
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Author : Göran Kauermann
language : en
Publisher: Springer Nature
Release Date : 2021-09-30
Statistical Foundations Reasoning And Inference written by Göran Kauermann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Mathematics categories.
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
Statistical Foundations Reasoning And Inference
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Author : Göran Kauermann
language : en
Publisher:
Release Date : 2021
Statistical Foundations Reasoning And Inference written by Göran Kauermann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty. Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp of probability theory. It will also be useful for data science practitioners who want to strengthen their statistics skills.
Proceedings Of The International Conference On Recent Advances In Artificial Intelligence For Sustainable Development Raisd 2025
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Author : Piyush Ranjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-18
Proceedings Of The International Conference On Recent Advances In Artificial Intelligence For Sustainable Development Raisd 2025 written by Piyush Ranjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-18 with Computers categories.
This open access volume presents select proceedings of Recent Advances in Artificial Intelligence for Sustainable Development (RAISD).
Data Analysis From Statistical Foundations
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Author : Donald Alexander Stuart Fraser
language : en
Publisher: Nova Publishers
Release Date : 2001
Data Analysis From Statistical Foundations written by Donald Alexander Stuart Fraser and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Mathematics categories.
Data Analysis from Statistical Foundations
Statistical Foundations Of Irreversible Thermodynamics
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Author : Roberto Luzzi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Statistical Foundations Of Irreversible Thermodynamics written by Roberto Luzzi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Science categories.
Thermodynamics is considered to be an offshoot of the Industrial Revo lution that began in England in the second half of the 18th Century and from there spread to other parts of the world. The word thermodynamics is derived from the Greek therme (meaning heat) and dynamis (meaning force). As well known, the origins of thermodynamics are founded in the early 19th century in the study of the motive power of heat; that is, the capability of hot bodies to produce mechanical work. However, there are of course precursors to these ideas: Temperature is probably the earliest thermodynamic concept to attain operational status (early in the 17th century with Galileo). The science of calorimetry beginning in the late 18th century (contemporary with the beginning of the Indus trial Revolution) led to the establishment of the caloric theory of heat [5]. Clausius in the second half of the 19th century established Thermody namics as a clearly defined science. The connection of Thermodynamics with Mechanics is first achieved through kinetic theory with the work of D. Bernouilli, J Herapath, ]. ]. Waterston, R. Clausius, ]. c. Maxwell, and finally L. Boltzmann, later through Statistical Mechanics, whose main purpose is to determine the thermodynamic properties and values of macroscopic observables in terms of the dynamical laws that govern the motion of the constitutive particles of the system. It is not easy to estab lish precisely the dates of the birth of Statistical Mechanics.
Foundations Of Statistical Inference
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Author : René Descartes Foundation
language : en
Publisher: Holt McDougal
Release Date : 1971
Foundations Of Statistical Inference written by René Descartes Foundation and has been published by Holt McDougal this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Mathematics categories.
Statistical Methods And Applications From A Historical Perspective
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Author : Fabio Crescenzi
language : en
Publisher: Springer
Release Date : 2014-06-19
Statistical Methods And Applications From A Historical Perspective written by Fabio Crescenzi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-19 with Mathematics categories.
The book showcases a selection of peer-reviewed papers, the preliminary versions of which were presented at a conference held 11-13 June 2011 in Bologna and organized jointly by the Italian Statistical Society (SIS), the Institute national Institute of Statistics (ISTAT) and the Bank of Italy. The theme of the conference was "Statistics in the 150 years of the Unification of Italy." The celebration of the anniversary of Italian unification provided the opportunity to examine and discuss the methodological aspects and applications from a historical perspective and both from a national and international point of view. The critical discussion on the issues of the past has made it possible to focus on recent advances, considering the studies of socio-economic and demographic changes in European countries.
Artificial Intelligence Foundations And Applications
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Author : Siva Sankar Namani
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Artificial Intelligence Foundations And Applications written by Siva Sankar Namani and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Statistical Rethinking
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Author : Richard McElreath
language : en
Publisher: CRC Press
Release Date : 2020-03-13
Statistical Rethinking written by Richard McElreath and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-13 with Mathematics categories.
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work. The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding. The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses. Features Integrates working code into the main text Illustrates concepts through worked data analysis examples Emphasizes understanding assumptions and how assumptions are reflected in code Offers more detailed explanations of the mathematics in optional sections Presents examples of using the dagitty R package to analyze causal graphs Provides the rethinking R package on the author's website and on GitHub
Topics In The Foundation Of Statistics
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Author : B.C. van Fraassen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Topics In The Foundation Of Statistics written by B.C. van Fraassen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
Foundational research focuses on the theory, but theories are to be related also to other theories, experiments, facts in their domains, data, and to their uses in applications, whether of prediction, control, or explanation. A theory is to be identified through its class of models, but not so narrowly as to disallow these roles. The language of science is to be studied separately, with special reference to the relations listed above, and to the consequent need for resources other than for theoretical description. Peculiar to the foundational level are questions of completeness (specifically in the representation of measurement), and of interpretation (a topic beset with confusions of truth and evidence, and with inappropriate metalinguistic abstraction).