normal probability
1.Using normal probability model is more simple and efficient to determine performance and characteristic parameter of waterflood oilfield, so it is feasible and practicable to forecast water cut and oil recovery of waterfood oilfield and evaluate its development measures.
2.Material misstatement risk denote by the financial form of audit unit have influence before audit form use the factor of normal judgement probability and it will cause lose amount, divide into the material misstatement of accounting form level risk with believe the material misstatement of level risk.
3.According to the Markov nature of streamflow variations, the probability theory and the principle of hydrologic statistics, this article derives the calculating formula of normal type conditional probability distribution of streamftow in consideration of the two correlated adjacent periods of time, proposes the calculation steps and corresponding computer program chart about the Pearson type Ⅲ conditional probability distribution of streamflow and recommends the items and results of feasibility test for this method.
4.Based on spatial correlation theory, by means of Monte Carlo simulation and Equivalent Normal Deviate, an area probability model for weather conditions, the Boehm Sawtooth Wave(BSW) model, has been developed.
5.Failure due to normal deterioration or mechanical wear, the probability of which increases with usage.
6.The result is that best performance can be achieved while choosing the syllable as the speech recognition unit, using CDN (center distance normal ) distribution based CDCPM (center distance continuous probability model), and adopting NN ( nearest neighbor ) based scoring scheme, i.e., the embedded multi model (EMM) scheme.
7.The probability of normal R.V. with absolute Value less then and equal to one, two, and three unit standard deviations are calculated from error function, the cumulate probability distribution of normal density.
8.Accordng to Gaussian distribution equation, we can paint a curve and obtain the normal distribution curve of random error and the rule of random error. According to the rule, we may get probability of random and confidence interval.
9.specific method to calculate the hitting probability of both round and rectangular aim are given,so are the generation of normal distribution vector and uniform distribution vector.
10.Except of the progress of the mathematical technical, Andersen supposed the claims are infected, i.e. permitted the consideration of non-poisson claim arriving. Dickson&Hipp(1998) demonstrated risk process in which claim arriving is a normal renewal process by the method of deducing the classical risk model, especially Erlang (2) risk process. Under the situation of claim distribution is Phase-type, they obtained the explicit solutions for ruin probability and survival probability.
