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31. The simulation outputs a statistic summary of the probability distribution of non-operating unit number and the efficiency of contact-teams.

32. The results shows that: 1, The spatial change of the transmissibility coefficient of aquifer complies with the normal probability distribution.

33. A double forecasting model is proposed by using conditional mathematical expectation, based on probability distribution of port cargo throughput.

34. In this paper, we propose a reduced linear representation of such distribution based on the formal power series on free monoid which can be easily used to calculate the probability distribution.

35. In object identification level object identification fusion based on D-S proof theory was discussed, performance analyzing is found that the arithmetic did not need probability distribution.

36. A uniform auto-correlation and cross-correlation probability distribution functions of digital correlator is derived from the probability and statistics theory.

37. By the method of estimating the probability distribution of training examples, a new and simple method of dealing with numeric attribute based on example distribution and entropy is turned out.

38. Sample Percentage Presentation of Joint Probability Distribution of Two Random Variables.

39. The probability function is definitely a derivative of the Boltzmann probability distribution function.

40. However, the digital random vibration control systems currently based on power spectrum fitting can only generate random vibration exciting signals with Gaussian probability distribution.

41. The risk probability distribution function can be got by due mathematical processing and fitting experiments under the condition that the distribution functions of all factor variables are known.

42. The Crossing Entropy is defined to scale the similar level of two probability distribution.

43. Probability distribution of cargo throughput was acquired using throughout probability theory.

44. The paper points out that the finish error of blades does not conform to normal distribution law, hence the error probability distribution function is derived for this specific process.

45. Histogram of posterior probability distribution for earthquake to occur on various fault groups.

46. The expressions have been obtained for the quasi-steady-state probability distribution function.

47. The probability distribution of gene frequency was studied by simulative method in finite population.

48. The relative risk of these chemicals was also investigated based on cumulative probability distribution curves, which were generated based on both exposure and acute toxicity data.

49. A quantized probability distribution PF is used instead of PDF.

50. On the basis of this conclusion, we simplify the likelihood difference function, and the analytic form of the probability distribution function is obtained.

51. Experiment results show that the proposed method achieves the better classification effect and the better posterior probability distribution than other methods.

52. Furthermore we assume that each observation of the time series has the same expectation function, standard deviation, and probability distribution function.

53. The probability distribution curve of the fluctuating pressure amplitude on the side wall of narrow-gap energy dissipater coincides with the normal probability curve.

54. Based on the rate of occurrence calculation, a method of calculating the updated probability distribution of the affirmation of signal reliability over specified hypothetic space is presented.

55. It provided the CFAR detecting method which is based on Rayleigh distribution according to the priori knowledge that the probability distribution of SAR images obey Rayleigh distribution.

56. One way is use maximum entropy to estimate the probability distribution.

57. For each incoming frame, a probability distribution image of the target is created,(www.Sentencedict.com) where the target's area turns into a blob.

58. Bayesian Belief Network(BBN)is a graphic model that encodes joint probability distribution among uncertain variables, it express a potential dependent relationship between variables.

59. Finally, according to the sensitive Entropy Theory, utilizing nonlinear optimization method, the probability distribution function of evaluating indicator can be figured out.

60. Bayesian neural network, each error value and the right to be treated as random variables, and their apriori probability distribution is the normal distribution.