• Produktbild: Probability Inequalities
  • Produktbild: Probability Inequalities

Probability Inequalities

Fr. 149.00

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.12.2014

Verlag

Springer Berlin

Seitenzahl

181

Maße (L/B/H)

23.5/15.5/1.1 cm

Gewicht

302 g

Auflage

2011

Sprache

Englisch

ISBN

978-3-642-43777-9

Beschreibung

Rezension

From the reviews:

“This is a relatively short book of 181 pages organized in 12 chapters with the avowed aim of introducing beginning research workers in probability and statistics to ‘frequently used’ inequalities. … I would heartily recommend this book to beginning researchers wanting to find ‘frequently used’ inequalities and learn some of the standard arguments.” (Jon Wellner, SIAM Review, Vol. 54 (2), 2012)

“This book contains a large collection of probability inequalities. … The authors present most of the results with proofs. The book is useful addition and a valuable source for any researcher in probability and statistics.” (B. L. S. Prakasa Rao, Zentralblatt MATH, Vol. 1221, 2011)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.12.2014

Verlag

Springer Berlin

Seitenzahl

181

Maße (L/B/H)

23.5/15.5/1.1 cm

Gewicht

302 g

Auflage

2011

Sprache

Englisch

ISBN

978-3-642-43777-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Probability Inequalities
  • Produktbild: Probability Inequalities
  • Elementary Inequalities of Probabilities of Events.- Inequalities Related to Commonly Used Distributions.- Inequalities Related to Characteristic Functions.- Estimates of the Difference of Two Distribution Functions.- Probability Inequalities of Random Variables.- Bounds of Probabilities in Terms of Moments.- Exponential Type Estimates of Probabilities.- Moment Inequalities Related to One or Two Variables.- Moment Estimates of (Maximum of) Sums of Random Variables.- Inequalities Related to Mixing Sequences.- Inequalities Related to Associative Variables.- Inequalities about Stochastic Processes and Banach Space Valued Random Variables.