Results 291 to 300 of about 1,347,059 (312)

Interval estimates for variance components [PDF]

Canadian Journal of Statistics, 1978
AbstractA new approach to inference on variance components is propounded. This approach not only gives a new justification for Fisher's fiducial, distribution for the “between classes” component, but also leads to a new distribution for the “within classes” component.
W. Venables, A. T. James
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Estimation and Confidence Intervals [PDF]

, 2016
In our first chapter we stated that statistics is the study of how to collect, organize, analyze, and interpret numerical data. In statistical inference we draw a sample of observations from a larger population. Estimation is the use of sample data in order to derive conclusions about the population. If we denote the Sample parameters as \( \overline{x}
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Confidence intervals in adaptive estimation

Journal of Mathematical Sciences, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P. B Bobrov, E. I. Ostrovskii
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Ratio-Estimations of Loudness-Intervals

The American Journal of Psychology, 1967
Two loudness-scales have been published: (a) the sone scale,1 and (b) the lambda scale.2 These two scales, based on different scaling procedures, are quite divers. The sone scale, based on direct estimates of the apparent ratios of loudnesses, is a power function of sound-intensity with an exponent of 0.3.
William A. Shaw, Jacob Beck
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Estimation and confidence intervals

1985
In Chapter 2 we stated that often we wish to infer or to predict information about a population by considering a sample (or samples) of collected data consisting of a finite number of observations or measurements from that population. Also, even if the population is large but finite, because of restrictions in time and expense, usually it is not ...
C. Plumpton, P. Sabine
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Quantile interval estimation

Communications in Statistics - Theory and Methods, 1983
As an alternative to the conventional sample quantile, Kaigh and Lachenbruch (1982) propose a certain U-statistic as a non-parametric estimator of a continuous population quantile. Other related quantile estimators are introduced and studied here. The jackknife procedure is applied to obtain sample variance estimates for the construction of symmetric ...
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Interval estimates for variance components

Canadian Journal of Statistics, 1981
AbstractThe fiducial approach to the two components of variance random effects model developed by Venables and James (1978) is related to the Bayesian approach of Box and Tiao (1973). The operating characteristics, under repeated sampling, of the resulting interval estimators for the “within classes” variance component are investigated, and the ...
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Optimal interval estimation fusion based on sensor interval estimates and confidence degrees

SPIE Proceedings, 2003
The interval estimation fusion method based on sensor interval estimates and their confidence degrees is developed. When sensor estimates are independent of each other, a combination rule to merge sensor estimates and their confidence degrees is proposed.
Yunmin Zhu, Baohua Li
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Estimates of the Spectrum in an Interval

1998
In this chapter we obtain upper and lower estimates for N(A;τ 1,τ 2) with − ∞ < τ l < τ 2 < ∞. These results are useful in the case when N − (A; τ i ) =∞ for i = 1, 2. Our analysis is very similar to the analysis of Chapter 8 but here an important role is played by the Birman-Schwinger principle.
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An interval estimation procedure with deterministic stopping rule in Bayes sequential interval estimation

Statistics & Probability Letters, 2001
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Chia-Chen Yang, Leng-Cheng Hwang
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