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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Oktober 2022
Genre:	Schulbücher
	BayesianStatistics / Bootstrapping / causality / Data Mining / DataAnalytics / DataScience / likelihood-basedinference / Missingdata / Multivariatedistributions / statisticalfoundations / statisticalinference / Statisticalreasoning / Statisticaltests / statisticsfordatascience / UncertaintyQuantification / Wahrscheinlichkeitsrechnung und Statistik mehr...
ISBN:	9783030698294
EAN-Code:	9783030698294
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 21 mm
Gewicht:	563 gr
Seiten:	372
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.