Similar words: estimate, estimated, estimating, estimation, estimative, estimated time of arrival, overestimate, underestimate. Meaning: n. an expert at calculation (or at operating calculating machines).
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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,[www.Sentencedict.com] 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.
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