Accession Number : AD0431814


Title :   SEQUENTIAL TESTS FOR THE MEAN OF A NORMAL DISTRIBUTION IV (DISCRETE CASE),


Corporate Author : STANFORD UNIV CALIF


Personal Author(s) : Chernoff,Herman


Report Date : 31 Jan 1964


Pagination or Media Count : 32


Abstract : The problem of sequentially testing whether the mean of a normal distribution is positive has been approximated by the continous analogue where one must decide whether the mean drift of a Wiener-Levy process is positive or negative. The asymptotic behavior of the solution of the latter problem was studied as t approaches infinity and zero. The original (discrete) problem can be regarded as a variation of the continuous problem where one is permitted to stop observation only at the discrete time points. The results involves relating the original problem to an associated problem and studying the limiting behavior of the solution of the associated problem. This solution corresponds to the solution of a Wiener-Hopf equation. The associated problem is the following: a WienerLevy process Zt starting at a point (z,t), t is less than 0 is observed at a cost of one per unit time. If the observation is stopped before t = 0, there is no payoff. If t = 0 is reached, the payoff is the quantity squared if it is less than 0 and 0 if it is more than or equal to 0. Stopping is permitted at times t = -1, -2,... . The conditional risk for the optimal procedure, given Zt=z is studied. Bounds and limiting properties are derived using Spitzer's results on the solution of certain Wiener-Hopf equations. (Author)


Descriptors :   *DISTRIBUTION(ECONOMICS) , STATISTICAL FUNCTIONS , MEASURE THEORY , OPTIMIZATION , INTEGRAL EQUATIONS , OPERATIONS RESEARCH , PROBABILITY


Distribution Statement : APPROVED FOR PUBLIC RELEASE