Ron S. Kenett: Modern Statistics | Buch

Cover: 9783031075650 | Modern Statistics | A Computer-Based Approach with Python | Buch

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Beschreibung

Analyzing Variability: Descriptive Statistics.- Probability Models and Distribution Functions.- Statistical Inference and Bootstrapping.- Variability in Several Dimensions and Regression Models.- Sampling for Estimation of Finite Population Quantities.- Time Series Analysis and Prediction.- Modern analytic methods: Part I.- Modern analytic methods: Part II.- Introduction to Python.- List of Python packages.- Code Repository and Solution Manual.- Bibliography.- Index.

Über den Autor

Professor Ron Kenett is Chairman of the KPA Group, Israel and Senior Research Fellow at the Samuel Neaman Institute, Technion, Haifa Israel and Professor, University of Turin, Italy. He is an applied statistician combining expertise in academic, consulting and business domains.

Shelemyahu Zacks is a Distinguished Professor emeritus in the Mathematical Sciences department of Binghamton University.

He is a Fellow of the IMS, ASA, AAAS and an elected member of the ISI. Professor Zacks has published eleven books and more than 170 journal articles on subjects of design of experiments, statistical process control, statistical decision theory, sequential analysis, reliability and sampling from finite populations. Professor Zacks has served as an Editor and Associate Editor of several Statistics and Probability journals.

Dr. Peter Gedeck, a Senior Data Scientist at Collaborative Drug Discovery, specializes in the development of machine learning algorithms to predict biological and physicochemical properties of drug candidates. In addition, he teaches data science at the University of Virginia and at [...].

Zusammenfassung

Demonstrates how to incorporate Python into the modern statistics curriculum

Includes over 40 case studies to facilitate experiential learning

An accompanying Python package is available for download, allowing students to engage directly with the material

Inhaltsverzeichnis

Details

Erscheinungsjahr:	2022
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	Statistics for Industry, Technology, and Engineering
Inhalt:	xxiii 438 S. 121 s/w Illustr. 17 farbige Illustr. 438 p. 138 illus. 17 illus. in color. With online files/update.
ISBN-13:	9783031075650
ISBN-10:	303107565X
Sprache:	Englisch
Einband:	Gebunden
Autor:	Kenett, Ron S. Zacks, Shelemyahu Gedeck, Peter
Hersteller:	Springer Birkhäuser Springer International Publishing AG Statistics for Industry, Technology, and Engineering
Verantwortliche Person für die EU:	Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	241 x 160 x 31 mm
Von/Mit:	Ron S. Kenett (u. a.)
Erscheinungsdatum:	21.09.2022
Gewicht:	0,857 kg