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Statistical Foundations, Reasoning and Inference

- For Science and Data Science

Statistical Foundations, Reasoning and Inference

- For Science and Data Science
Tjek vores konkurrenters priser

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.

Tjek vores konkurrenters priser
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kr 716
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

Produktdetaljer
Sprog: Engelsk
Sider: 356
ISBN-13: 9783030698294
Indbinding: Paperback
Udgave:
ISBN-10: 3030698297
Udg. Dato: 2 okt 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 2 okt 2022
Forfatter(e) Helmut Kuchenhoff, Christian Heumann, Goran Kauermann


Kategori Sandsynlighedsregning og statistik


ISBN-13 9783030698294


Sprog Engelsk


Indbinding Paperback


Sider 356


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 2 okt 2022


Oplagsdato 2 okt 2022


Forlag Springer Nature Switzerland AG

Kategori sammenhænge