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The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance

Samuel Kotz, Tomaz J. Kozubowski, Krzysztof Podgórski

Open publisher page 595 citations

Abstract

This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.

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This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.

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OpenAlex reports 595 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This book describes the inferential and modeling advantages that this distribution, together with its generalizations and modifications, offers. The exposition systematically unfolds with many examples, tables, illustrations, and exercises. A comprehensive index and extensive bibliography also make this book an ideal text for a senior undergraduate and graduate seminar on statistical distributions, or for a short half-term academic course in statistics, applied probability, and finance.

Key concepts: Exposition (narrative), Index (typography), Laplace distribution, Laplace transform, Bibliography, Computer science, Distribution (mathematics), Ideal (ethics)

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The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance — Research Paper | ScholarLens