Introduction to Stochastic Level Crossing Techniques (Record no. 1432933)

MARC details
000 -LEADER
fixed length control field 02016nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625151302.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250625b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367277352
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Transcribing agency CSL
041 ## - LANGUAGE CODE
Source of code eng
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B2811 R3
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Brill, Percy H
Relator term author.
9 (RLIN) 478840
245 ## - TITLE STATEMENT
Title Introduction to Stochastic Level Crossing Techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press/Taylor & Francis,
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 255p.
Other physical details : ill.
Dimensions ; 24 cm.
500 ## - GENERAL NOTE
General note Includes bibliography and index.
520 ## - SUMMARY, ETC.
Summary, etc. Introduction to Stochastic Level Crossing Techniques describes stochastic models and their analysis using the System Point Level Crossing method (abbreviated SPLC or LC). This involves deriving probability density functions (pdfs) or cumulative probability distribution functions (cdfs) of key random variables, applying simple level-crossing limit theorems developed by the author. The pdfs and/or cdfs are used to specify operational characteristics about the stochastic model of interest. The chapters describe distinct stochastic models and associated key random variables in the models. For each model, a figure of a typical sample path (realization, i.e., tracing over time) of the key random variable is displayed. For each model, an analytic (Volterra) integral equation for the stationary pdf of the key random variable is created-by inspection of the sample path, using the simple LC limit theorems. This LC method bypasses a great deal of algebra, usually required by other methods of analysis. The integral equations will be solved directly, or computationally. This book is meant for students of mathematics, management science, engineering, natural sciences, and researchers who use applied probability. It will also be useful to technical workers in a range of professions.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Preliminaries.
9 (RLIN) 716049
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Stochastic models.
9 (RLIN) 814569
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dams.
9 (RLIN) 814570
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Koha item type Textual
Classification part B2811 R3
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2024-10-22 Satyam Books Pvt. Ltd.   B2811 R3 SL1655929 2025-06-25 2025-06-25 Textual
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