Showing papers on "Robustness (computer science) published in 1969"
TL;DR: In this article, the rescaled range R(t, s) / S t, s is shown to be a very robust statistic for testing the presence of noncyclic long run statistical dependence in records and, in cases where such dependence is present, for estimating its intensity.
Abstract: The rescaled range R(t, s) / S(t, s) is shown by extensive computer simulation to be a very robust statistic for testing the presence of noncyclic long run statistical dependence in records and, in cases where such dependence is present, for estimating its intensity. The processes examined in this paper extend to extraordinarily non-Gaussian processes with huge skewness and/or kurtosis (that is, third and/or fourth moments).
907 citations
Book•
01 Jan 1969
TL;DR: This new junior/senior level textbook, based on the classic Melsa-Schultz LINEAR CONTROL SYSTEMS, adds the best of modern topics such as robustness, ramifications of model inaccuracies on the design of control systems, computer examples using MATLAB, and design problems to a very successful classic textbook.
Abstract: From the Publisher:
This new junior/senior level textbook,based on the classic Melsa-Schultz LINEAR CONTROL SYSTEMS,adds the best of modern topics such as robustness,ramifications of model inaccuracies on the design of control systems,computer examples using MATLAB,and design problems to a very successful classic textbook. It has broad applications to electrical,mechanical,chemical and aerospace engineering.
318 citations
01 Jan 1969
TL;DR: This paper improves the watermark extracting process and design the robust watermarking systems in the frequency domain using deconvolution filter and neural network techniques.
Abstract: This paper aims to design robust watermarking systems in the frequency domain. We first present the general model of watermark embedding and extracting processes and carry out their analysis. Then we examine the robustness of the watermarking system against common image processing and clarify the reason why detection errors occur in the watermark extracting process. Based on the result, we improve the watermark extracting process and design the robust watermarking systems. The improvement is accomplished using deconvolution filter and neural network techniques. Numerical experiments using the DCT-based watermarking system show good performance as we expected.
5 citations
TL;DR: In this paper, a class of nonparametric tests based on Hoeffding's (1948) U-statistics is shown to be robust for heterogeneity of the distributions of the sample observations.
Abstract: A CLASS of nonparametric tests based on Hoeffding's (1948) U-statisticsis shown to be robust for heterogeneity of the distributions of the sample observations ; the theory is illustrated by means of some known tests. Let X10 • •• , Xn be independent (real or vector valued) random variables having cumulative distribution functions (cdf's) F1(x), ... Fn(x) respectively. Let n be the set of all cdf's closed under the following (countable) set operation: if FidJ. for i = 1, 2, ... , then (1/n)Lt~tFtt:!2 for all n;>l. It is assumed that Fn = (F1, ••. , Fn) is an element of the product set Qn, and the null hypothesis states that
3 citations
01 May 1969
TL;DR: A brief review of the literature on the concept of statistical robustness is presented in this article and four investigations of statistical procedures for testing or estimating population means are presented, which enable the reader to identify regions of robustness of various appropriate levels for any of these procedures.
Abstract: : The reported research is an attempt to rigorize and quantify the concept of statistical robustness. A brief review of the literature is included and the concept of 'regions of robustness' is presented. Such regions are regions in the space of assumption alternatives within which the user of a statistical procedure is assured that he will make an error in his 'criterion function' of a magnitude no more than a prespecified level. Certain concepts associated with 'regions of robustness' are discussed and various properties of such regions are developed. Finally, four investigations of statistical procedures for testing or estimating population means are presented. Tables are given with each of these investigations which enable the reader to identify regions of robustness of various appropriate levels for any of these procedures. (Author)
1 citations
01 Jan 1969
TL;DR: In this paper, a procedure for handling statistical problems with nuisance parameters with special reference to problems in the three parameter generalized gamma distribution has been considered, and the question of the existence of the maximum likelihood estimates of the parameters for all samples for all small samples is raised.
Abstract: Procedures for handling statistical problems with nuisance parameters are considered with special reference to problems in the three parameter generalized gamma distribution. Maximum likelihood estimation of the parameters of this density has been investigated. Properties of these estimates are established which ii make it possible to make inferences about the p8rameters. Discrimination between various models for life testing problems is discussed and the robustness of the Weibull model is advanced. The question of the existence of the maximum likelihood estimates of the parameters for all samples is raised. Empiric evidence is presented indicating that they may not exist for all small samples.