1. For most estimators, advancement takes the form of higher pay and prestige.

2. But an estimator can call at the customer's home, take measurements and quote a price.

3. Although estimators normally work a 40-hour week, much overtime is often required.

4. Estimators working in the construction industry and manufacturing businesses have different methods of and motivations for estimating costs.

5. Equally, the estimator may have insufficient time or resources to provide a breakdown of the estimate.

6. Cost estimators usually operate under pressure, especially when facing deadlines.

7. These programs help students, estimators-in-training, and experienced estimators stay abreast of changes affecting the profession.

8. The chief estimator then prepares the bid proposal for submission to the developer.

9. Most construction estimators have considerable previous experience as a construction craft worker or manager.

10. Highly experienced cost estimators for construction projects earn around $80,000 a year.

11. To do this, the estimator must initiate inquiries for price information from potential suppliers.

12. Some cost estimators now specialize in only estimating computer software development and related costs.

13. Explain non - standard system to Estimator if necessary.

14. An estimator is a random variable.

15. The estimator can take various specific forms.

16. We are discussing whether OLS estimator satisfy asymptotic normality.

17. Theory testified: The estimator is unbiased, and with the smallest variance, thus the estimator is effective.

18. CMAC estimator is trained with a linear model, then the centroid and attitude are predicted.

19. Meanwhile, the stability property of the estimator is also discussed.

20. The estimator is in use for estimating interference generated by new call request users.

21. Methods We introduce M estimator and LTS estimator, with breakdown point to discuss their robustness. Also, we compare two simulated data as demonstration.

22. M estimator is the abbreviation for the maximum likelihood estimator.

23. A new DOA estimator is proposed to estimate DOA of the adjacent coherent signal.

24. Also, it's a blind estimator and do not slow the data rate of transmission.

25. The estimator is simple in construction and the error of stator resistance is small.

26. By using the least square estimation on structural breaks, we have the point estimator and interval estimator for the autoregression model of inflation rate.

26. try its best to gather and create good sentences.

27. The reliability estimation for a software product mainly depends on the research of the software reliability model and its parameter estimator.

28. According to the characteristic of equipment and stratified sampling theory, the separate ratio estimator is applied to the appraisal of machinery and equipment.

29. Describes systematically an computationally efficient algorithm for dechirp. We use a fast and accurate frequency estimator synthetic approach to replace the 1 D Search procedure.

30. The conditional density and the conditional mean are estimated by nonparametric method. Then the estimator of the parameter is proposed by the generalized method of moments.

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. 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.

61. In this paper, we discuss the strong convergence of M- estimator for regression parameter in linear model with NA errors, which extends the result results under iid.

62. This algorithm applies periodogram and parabolic interpolation to the cross correlation spectrum of band limited stochastic signals, and can obtain a continuous time delay estimator.

63. Numerical examples are presented to show the effectiveness of the estimator.

64. The estimator presents both the estimate of instantaneous RDS and the estimates of noise variance, channel power and SNR of current channel with low computational comp.

65. We give the approximation formulas of the variance of the sample ratio estimator for a population mean and its asymptotically non-biased estimator in multi-stage sampling.

66. The extension principle for hybrid dynamic systems is introduced and the contractibility of estimator is analyzed in the framework of extension principle.

67. The computational results demonstrate that the partial root root estimator can improve the LS estimator when the design matrix is ill conditioned.

68. The marginal posterior distribution of the parameter in the ARFIMA models is presented by Bayes theorem and the mode of the marginal posterior distribution is choosed as the estimator.

69. To construct confidence interval, the limiting distribution of change - point estimator is obtained.

70. Small sample properties are derived for the estimator from simple random samples.

71. We discussed the effect produced by risk function on deciding rule between two parameter estimators, gave a probability rule for choosing estimator.

72. The performance of DOA estimator is studied via Monte Carlo simulations.

73. By using the least square estimation with structural breaks, we have the point estimator and interval estimator for the autoregression model of inflation rate.

74. The sufficient condition of the existence of the parameter estimator was given.

75. Finally, the asymptotical distribution of the smoothing estimator related to the extended moment estimator is derived by the study of process before.

76. The Maximum Likelihood Estimator (MLE) of the parameter of interarrival distribution based on renewal process is discussed. It is obtained that the MLE converges strongly to the true parameter.

77. Under relatively simple conditions, the consistency and the asymptotic normality of the conditional ML estimator for stochastic regressors case are obtained.

78. A feature of the popular GMM estimator in this context is that in small samples it will often deliver spatial parameter estimates that lie outside the invertibility region of the model.

79. Our estimator is asymptotically equivalent to a model-calibration (MC) estimator in Wu and Sitter (2001) in the case of estimating the finite population mean.

80. Is it possible for an estimator to be unbiased but inconsistent?

81. The Minimum Mean Squared Error (MMSE) estimator for the speech feature parameters in spectrum-domain based the prior probability distribution is to enhance the correctness of speech recognition.

82. In this paper we discuss conjugate direction method for LS estimator and analyse error of iterative solution.

83. This thesis is to design an intelligent battery charger residual capacity estimator with DSP.

84. From the non-cooperative point of view, the paper proposes a SNR estimator which is still relevant in the condition of unknown frequency uncertainty, symbol timing and rolloff factor.

85. Through generalized ridge estimator model, we obtain that average tuition and training expense, nation allocation per student respectively have negative and positive correlation.

86. Neural Network is an estimator of adaptive resonance function, which is not dependent on models,[] and could fulfill arbitrarily functional relation without them.

87. Objective The collinearity in data can produce inaccurate estimator and test.

88. Except the Analysis of Variance Estimator, these approaches all need to solve a non-linear equation, which does not have explicit solution, and only has an iteration solution in general.

89. Mandelbrot makes a strong case that the normal distribution is a poor estimator for the distribution of price changes, and that a fractal distribution paints a more accurate picture.

90. A channel estimator portion 42 uses known searching techniques to discern a channel impulse response.