THE FIRST PASSAGE PROBLEM FOR A CONTINUOUS MARKOFF PROCESS

Abstract

The solution to the first passage problem for a strongly continuous temporally homogeneous Markoff process X(t) is given. If T = T sub ab (x) is a random variable giving the time of first passage of X (t) from the region a > X(t) > b when a > X(0) = x> b, simple methods of getting the distribution of T (at least in terms of a Laplace transform) are developed. From the distribution of T the distribution of the maximum of X(t) and the range of X(t) are deduced. These results yield, in an asymptotic form, solutions to certain statistical problems in sequential analysis, non-parametric theory of 'goodness of fit,' optional stopping, etc. which are treated as an illustration of the theory.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 02, 1953
Accession Number
AD0603986

Entities

People

  • A. J. Siegert
  • D. A. Darling

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Absorption
  • Boundary Value Problems
  • Brownian Motion
  • Covariance
  • Differential Equations
  • Distribution Functions
  • Equations
  • Integral Equations
  • Normal Distribution
  • Probability
  • Random Variables
  • Random Walk
  • Sequential Analysis
  • Stochastic Processes
  • Transitions
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Operations Research
  • Regression Analysis.