Discretization of Processes (Record no. 102260)

000 -LEADER
fixed length control field 04018nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-642-24127-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083303.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111021s2012 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642241277
-- 978-3-642-24127-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-24127-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA273.A1-274.9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274-274.9
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBWL
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Jacod, Jean.
Relator term author.
245 10 - TITLE STATEMENT
Title Discretization of Processes
Medium [electronic resource] /
Statement of responsibility, etc by Jean Jacod, Philip Protter.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 596 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Stochastic Modelling and Applied Probability,
International Standard Serial Number 0172-4568 ;
Volume number/sequential designation 67
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I Introduction and Preliminary Material -- 1.Introduction -- 2.Some Prerequisites -- Part II The Basic Results -- 3.Laws of Large Numbers: the Basic Results -- 4.Central Limit Theorems: Technical Tools -- 5.Central Limit Theorems: the Basic Results -- 6.Integrated Discretization Error -- Part III More Laws of Large Numbers -- 7.First Extension: Random Weights -- 8.Second Extension: Functions of Several Increments -- 9.Third Extension: Truncated Functionals -- Part IV Extensions of the Central Limit Theorems -- 10.The Central Limit Theorem for Random Weights -- 11.The Central Limit Theorem for Functions of a Finite Number of Increments -- 12.The Central Limit Theorem for Functions of an Increasing Number of Increments -- 13.The Central Limit Theorem for Truncated Functionals -- Part V Various Extensions -- 14.Irregular Discretization Schemes. 15.Higher Order Limit Theorems -- 16.Semimartingales Contaminated by Noise -- Appendix -- References -- Assumptions -- Index of Functionals -- Index.
520 ## - SUMMARY, ETC.
Summary, etc In applications, and especially in mathematical finance, random time-dependent events are often modeled as stochastic processes. Assumptions are made about the structure of such processes, and serious researchers will want to justify those assumptions through the use of data.  As statisticians are wont to say, “In God we trust; all others must bring data.”   This book establishes the theory of how to go about estimating not just scalar parameters about a proposed model, but also the underlying structure of the model itself.  Classic statistical tools are used: the law of large numbers, and the central limit theorem. Researchers have recently developed creative and original methods to use these tools in sophisticated (but highly technical) ways to reveal new details about the underlying structure. For the first time in book form, the authors present these latest techniques, based on research from the last 10 years. They include new findings.   This book will be of special interest to researchers, combining the theory of mathematical finance with its investigation using market data, and it will also prove to be useful in a broad range of applications, such as to mathematical biology, chemical engineering, and physics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Distribution (Probability theory).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics
General subdivision Statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometrics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability Theory and Stochastic Processes.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Business/Economics/Mathematical Finance/Insurance.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometrics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Protter, Philip.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642241260
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Stochastic Modelling and Applied Probability,
-- 0172-4568 ;
Volume number/sequential designation 67
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-24127-7
912 ## -
-- ZDB-2-SMA

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