Results 331 to 340 of about 1,012,468 (372)
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2007
This chapter describes the four main methods of estimating and their approximate levels of accuracy. These methods are: subjective (±20%–40%), parametric (±10%–20%), comparative (±10%) and analytical (±5%). The need to always allow a contingency is stressed and a diagram shows how the accuracy percentage improves as the project moves from the concept ...
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This chapter describes the four main methods of estimating and their approximate levels of accuracy. These methods are: subjective (±20%–40%), parametric (±10%–20%), comparative (±10%) and analytical (±5%). The need to always allow a contingency is stressed and a diagram shows how the accuracy percentage improves as the project moves from the concept ...
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2003
We know from our basic knowledge of statistics that one of the objectives in statistics is to better understand and model the underlying process which generates data. This is known as statistical inference: we infer from information contained in sample properties of the population from which the observations are taken.
Léopold Simar, Wolfgang Karl Härdle
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We know from our basic knowledge of statistics that one of the objectives in statistics is to better understand and model the underlying process which generates data. This is known as statistical inference: we infer from information contained in sample properties of the population from which the observations are taken.
Léopold Simar, Wolfgang Karl Härdle
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, 1991 This Chapter 6 and the next Chapter 7 are devoted to the proof of Theorem 1.2. In this chapter we study the operator Ap, and prove a priori estimates for the operator Ap − λI (Theorem 6.3) which will play a fundamental role in the next chapter. In the proof we make good use of Agmon’s method (Proposition 6.4). This is a technique of treating a spectral
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An Improved Estimator of the Variance of the Regression Estimator
Biometrical Journal, 1999Summary: The problem of estimation of variance of the general linear regression estimator has been considered. It has been shown that the first order calibration approach is a special case of the class of estimators proposed by \textit{L.-Y. Deng} and \textit{C. F. J. Wu} [J. Am. Stat. Assoc. 82, 568-576 (1987; Zbl 0629.62016)].
Stephen Horn, Sarjinder Singh
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Estimating the Loss of Estimators of a Binomial Parameter
Biometrika, 1988A loss function is introduced, which combines the estimation error of a statistical procedure with a measure of its accuracy. The properties of this loss function are illustrated by the estimator of a binomial parameter. The choice of a conjugate prior distribution is discussed from this point of view.
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Journal of Mathematical Biology, 1975
This paper is concerned with the estimation of parameters when mathematical models are fitted to data. Two new algorithms are presented. The first is fast (economical in computation time), requires no initial estimates, but is not so accurate. The second requires more computation time, and fairly accurate initial estimates, but achieves high accuracy ...
J. Swartz, H. Bremermann
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This paper is concerned with the estimation of parameters when mathematical models are fitted to data. Two new algorithms are presented. The first is fast (economical in computation time), requires no initial estimates, but is not so accurate. The second requires more computation time, and fairly accurate initial estimates, but achieves high accuracy ...
J. Swartz, H. Bremermann
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Theory of Probability & Its Applications, 1964
A study is made of certain properties of an approximation to the regression line on the basis of sampling data when the sample size increases unboundedly.
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A study is made of certain properties of an approximation to the regression line on the basis of sampling data when the sample size increases unboundedly.
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, 2011 Trend estimation deals with the characterization of the underlying, or long–run, evolution of a time series. Despite being a very pervasive theme in time series analysis since its inception, it still raises a lot of controversies. The difficulties, or better, the challenges, lie in the identification of the sources of the trend dynamics, and in the ...
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