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31. In the situation that sample size is odd, the sample median, as the maximum likelihood estimator of location parameter, is proved to be unbiased and strongly consistent.

32. This paper makes research on stator resistance detector and speed estimator adjusted by ant col.

33. In this article, we propose seasonal unit root test statistics based on the Weighted Symmetric estimator and derive representation for limiting distributions of the statistics.

34. A cost estimate at a given stage of project development represents a prediction provided by the cost engineer or estimator on the basis of available data.

35. A hybrid neural network model was synthesized to predict the gas production rates. The model consists of a first principle partial model and a neural network parameter estimator.

36. We can find the exact credibility estimator of risk premium under the symmetric loss function.

37. In consideration of the parameters in the Waring distribution to be estimated, two estimators-the transformed data estimator(TDE) and the maximum likelihood estimator(MLE)-are evaluated respectively.

38. A cost estimingested at a given stchronilogical age of project development represents a prediction provided by the cost engineer or estimator on the foundine of in the market today data.

39. The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence.

40. The principle, performance, parameter and estimate error of the estimator are analyzed in detail.

41. The general structural error-in-variable regression models is discussed. A consistent estimator of the regression parameter is presented.

42. A spectral estimator based on the rank-deficient sample covariance matrix was developed to improve the robustness of estimates of the rank-deficient robust Capon filter-bank (RCF) spectral estimator.

43. This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.

44. The results show that fuzzy region recognition based link estimator can describe the link quality well, and has more practicability.

45. An economic example is used to illustrate the application of latent root estimator.

46. Is it possible for an estimator to be biased in finite sample but consistent sample?

47. With frequency bias increasing, estimated bias and variance of adaptive frequency estimator (AFE) enlarge.

48. Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.

49. Under the normal distribution, the maximum likelihood estimator for the population parameter is proved to be unbiased and asymptotically normal.

50. This paper designs and implements a DSP based battery charger and residual capacity estimator.

51. This thesis investigates the design and implementation of a battery charger with state - of - charge estimator.

52. When the estimator is unbiased, the numerical estimate is frequently also called unbiased.

53. Instead of using the homomorphic filter which is used to get rid of multiple noise and is a biased estimator, this algorithm translates speckle into locally stationary additive white noise.

54. The maximum likelihood estimator for population average treatment effect is proved consistent, unbiased and asymptotically normal.

55. The basic idea of the method is to estimate the parameter variation rate through Kalman filtering by using the information of the prediction error of a WLS estimator for the system.

56. The SFO estimator estimates an SFO of the sample data signal based on the waveform characteristic variation quantity.

56. Sentencedict.com is a online sentence dictionary, on which you can find nice sentences for a large number of words.

57. Simulations show that the performance of the frequency estimator based on Weighting Function provides an excellent estimate of frequency offset in wireless systems.

58. This kernel estimator has the advantages of both the local model and the global model.

59. In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.

60. By using the center clipping and gain function modification of estimator, the residual noise can be reduced significantly.