|Series||BEBR faculty working paper -- no. 92-0148, BEBR faculty working paper -- no. 92-0148.|
|Contributions||Hornik, Kurt, 1963-, Kuan, Chung-Ming, University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research|
In this paper a new class of tests for parameter stability, the moving-estimates (ME) test, is proposed. It is shown that in the standard situation the ME test asymptotically equivalent to the maximal likelihood ratio test under the alternative of a temporary parameter by: A moving-estimates test for parameter stability and its boundary-crossing probability. BEBR This paper surveys recent results involving boundary crossing probabilities and related statistical applications. The first part is concerned with problems of sequential analysis, especially repeated significance tests and their application to sequential clinical trials involving survival by: A moving-estimates test for parameter stability and its boundary crossing probability. BEBR Working Paper Collection of Commerce, Univ. Cited by: 3.
I Probabilistic Stability Analysis (Reliability Analysis) Key Concepts Sliding stability analysis of concrete or embankment dams does not lend itself well to the event tree method in all cases, particularly under normal operating conditions. That is because stability, or lack thereof, results from an interaction between the applied loads,File Size: KB. Economics Letters 7 () North-Holland Publishing Company TESTING FOR PARAMETER STABILITY IN STRUCTURAL ECONOMETRIC RELATIONSHIPS David E.A. GILES Monash University, Clayton, Vict. , Australia Received 21 July This letter discusses CUSUM and CUSUM of squares tests for parameter stability in an equation which forms part of a structural . Bernoulli is a discrete distribution, the likelihood is the probability mass function. The probability mass function of a Bernoulli X can be written as f(X) = pX(1 p)1 X. Wow! Whats up with that? Its an equation that allows us to say that the probability that X = 1 is p and the probability that X = 0 is 1 p. Convince yourself that when X i = 0. The following sections provide more information on parameters, parameter estimates, and sampling distributions. About parameters Parameters are descriptive measures of an entire population that may be used as the inputs for a probability distribution function (PDF) to generate distribution curves.
Explicit Bounds for Approximation Rates for Boundary Crossing Probabilities for the Wiener Process Article in Journal of Applied Probability 42(1) February with 13 Reads How we measure 'reads'. of slope stability, and is in itself a direct input parameter for slope stability analysis. It is important to define any thin weak layers present, the presence of slickensides, etc., as these fine details of the stratigraphy could control the stability of the slope in question. Knowledge of the geologic nature of the strata present at the site. The collision probability of each elementary process mentioned above is characterized by the particle density and a parameter named cross section. Let us define this parameter in the case of elastic collisions considering a single test particle moving through a cloud with a density n a of particles at rest (as shown in Fig. ) and having only elastic encounters with the target particles. Chapter Probability Plots Introduction This procedure constructs probability plots for the Normal, Weibull, Chi-squared, Gamma, Uniform, Exponential, Half-Normal, and Log-Normal distributions. Approximate confidence limits are drawn to help determine if a set of data follows a given Size: KB.