The integral of a symmetric unimodal function over a symmetric convex set and some probability inequalities
01 Feb 1955-Vol. 6, Iss: 2, pp 170-176
About: The article was published on 1955-02-01 and is currently open access. It has received 552 citations till now. The article focuses on the topics: Convex set & Subderivative.
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TL;DR: In this article, the Stein-Weiss inequality was shown to be an optimal Hardy-Littlewood-Sobolev inequality for the case of n > k, and the existence of an optimal pair for this inequality was studied.
Abstract: For $n > k \geq 0$, $\lambda >0$, and $p, r>1$, we establish the following optimal Hardy-Littlewood-Sobolev inequality \[ \Big| \iint_{\mathbf R^n \times \mathbf R^{n-k}} \frac{f(x) g(y)}{ |x-y|^\lambda |y''|^\beta} dx dy \Big| \lesssim \| f \| _{L^p(\mathbf R^{n-k})} \| g\| _{L^r(\mathbf R^n)} \] with $y = (y', y'') \in \mathbf R^{n-k} \times \mathbf R^k$ under the two conditions \[ \beta < \left\{ \begin{aligned} & k - k/r & & \text{if } \; 0 < \lambda \leq n-k,\\ & n - \lambda - k/r & & \text{if } \; n-k < \lambda, \end{aligned} \right. \] and \[ \frac{n-k}n \frac 1p + \frac 1r + \frac { \beta + \lambda} n = 2 -\frac kn. \] Remarkably, there is no upper bound for $\lambda$, which is quite different from the case with the weight $|y|^{-\beta}$, commonly known as Stein-Weiss inequalities. We also show that the above condition for $\beta$ is sharp. Apparently, the above inequality includes the classical Hardy-Littlewood-Sobolev inequality when $k=0$ and the HLS inequality on the upper half space $\mathbf R_+^n$ when $k=1$. In the unweighted case, namely $\beta=0$, our finding immediately leads to the sharp HLS inequality on $\mathbf R^{n-k} \times \mathbf R^n$ with the \textit{optimal} range $$0<\lambda
1 citations
TL;DR: In this article, a class of distribution-free progressive censoring test procedures for multi-sample location problem using a stage-wise partially sequential sampling technique is proposed. But the proposed method requires a fixed number of sample observations from one of the populations and random number of observations from other populations (say, treatments) using suitable stopping rules.
Abstract: In this study, we propose a class of distribution-free progressive censoring test procedures for multi-sample location problem using a stage-wise partially sequential sampling technique. For this, we draw a fixed number of sample observations from one of the populations (say, control) and random number of observations from other populations (say, treatments) using suitable stopping rules. At each stage, two types of control groups, termed as fixed control group (FCG) and updated control group (UCG), are considered. Suitable stopping rules are constructed based on quantiles of the FCG and UCG observations separately. At each stage, FCG consists of initial control observations only; while UCG consists of stage-wise updated combined control observations and previous treatment observations. We examined different large sample results of the proposed tests. We also performed numerical studies to compare the performance of the tests based on FCG and UCG procedures. In addition, we compared the performance of the progressive censoring test procedures with the corresponding competitive terminal test procedure numerically.
1 citations
01 Jan 1979
TL;DR: The yield and gradient of vield are estimated using a method based upon Simplicial Approximation which is used to form a piecewise linear approximation to the probability density function of the designable parameters.
Abstract: In this paper we examine the problem of designing electronic circuits using Multiple Criteria Optimization where one of the competing criteria is circuit yield. The yield and gradient of vield are estimated using a method based upon Simplicial Approximation which is used to form a piecewise linear approximation to the probability density function of the designable parameters. An example illustrates that It may be possible to significantly alter the values of various circuit criteria, over their value at the maximum yield point, with very little change in yield.
1 citations
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TL;DR: In this paper, the exact Hausdorff measure function for Gaussian random fields with stationary increments has been shown to be strongly locally nondeterministic in terms of spectral measures.
Abstract: Let $X= \{X(t), t \in \R^N\}$ be a Gaussian random field with values in $\R^d$ defined by \[ X(t) = \big(X_1(t),..., X_d(t)\big),\qquad t \in \R^N, \] where $X_1, ..., X_d$ are independent copies of a real-valued, centered, anisotropic Gaussian random field $X_0$ which has stationary increments and the property of strong local nondeterminism. In this paper we determine the exact Hausdorff measure function for the range $X([0, 1]^N)$.
We also provide a sufficient condition for a Gaussian random field with stationary increments to be strongly locally nondeterministic. This condition is given in terms of the spectral measures of the Gaussian random fields which may contain either an absolutely continuous or discrete part. This result strengthens and extends significantly the related theorems of Berman (1973, 1988), Pitt (1978) and Xiao (2007, 2009), and will have wider applicability beyond the scope of the present paper.
1 citations
01 Jan 1984
1 citations
References
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TL;DR: In this article, a general method for calculating the limiting distributions of these criteria is developed by reducing them to corresponding problems in stochastic processes, which in turn lead to more or less classical eigenvalue and boundary value problems for special classes of differential equations.
Abstract: The statistical problem treated is that of testing the hypothesis that $n$ independent, identically distributed random variables have a specified continuous distribution function $F(x)$. If $F_n(x)$ is the empirical cumulative distribution function and $\psi(t)$ is some nonnegative weight function $(0 \leqq t \leqq 1)$, we consider $n^{\frac{1}{2}} \sup_{-\infty
3,082 citations
"The integral of a symmetric unimoda..." refers background in this paper
...In Theorem 1 the equality in (1) holds for k<l if and only if, for every u, (E+y)r\Ku=Er\Ku-\-y....
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...It will be noticed that we obtain strict inequality in (1) if and only if for at least one u, H(u)>H*(u) (because H(u) is continuous on the left)....
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1,660 citations
01 Jan 1934
TL;DR: In this article, Minkowski et al. den engen Zusammenhang dieser Begriffbildungen und Satze mit der Frage nach der bestimmung konvexer Flachen durch ihre GAusssche Krtim mung aufgedeckt und tiefliegende diesbeztigliche Satze bewiesen.
Abstract: Konvexe Figuren haben von jeher in der Geometrie eine bedeutende Rolle gespielt. Die durch ihre KonvexiUitseigenschaft allein charakteri sierten Gebilde hat aber erst BRUNN zum Gegenstand umfassender geometrischer Untersuchungen gemacht. In zwei Arbeiten "Ovale und EifHichen" und "Kurven ohne Wendepunkte" aus den Jahren 1887 und 1889 (vgl. Literaturverzeichnis BRUNN [1J, [2J) hat er neben zahl reichen Satzen der verschiedensten Art tiber konvexe Bereiche und Korper einen Satz tiber die Flacheninhalte von parallelen ebenen Schnitten eines konvexen K6rpers bewiesen, der sich in der Folge als fundamental herausgestellt hat. Die Bedeutung dieses Satzes hervor gehoben zu haben, ist das Verdienst von MINKOWSKI. In mehreren Arbeiten, insbesondere in "Volumeri. und Oberflache" (1903) und in der groBztigig angelegten, unvollendet geblieben n Arbeit "Zur Theorie der konvexen K6rper" (Literaturverzeichnis [3], [4J) hat er durch Ein fUhrung von grundlegenden Begriffen wie Stutzfunktion, gemischtes VolulIl, en usw. die dem Problemkreis angemessenen formalen Hilfsmittel geschaffen und vor allem den Weg zu vielseitigen Anwendungen, speziell auf das isoperimetrische (isepiphane) und andere Extremalprobleme fUr konvexe Bereiche und K6rper er6ffnet. Weiterhin hat MINKOWSKI den engen Zusammenhang dieser Begriffsbildungen und Satze mit der Frage nach der Bestimmung konvexer Flachen durch ihre GAusssche Krtim mung aufgedeckt und tiefliegende diesbeztigliche Satze bewiesen.
927 citations
TL;DR: In this paper, the authors extended the Cramer-Smirnov and von Mises test to the parametric case, a suggestion of Cramer [1], see also [2].
Abstract: The "goodness of fit" problem, consisting of comparing the empirical and hypothetical cumulative distribution functions (cdf's), is treated here for the case when an auxiliary parameter is to be estimated. This extends the Cramer-Smirnov and von Mises test to the parametric case, a suggestion of Cramer [1], see also [2]. The characteristic function of the limiting distribution of the test function is found by consideration of a Guassian stochastic process.
140 citations
"The integral of a symmetric unimoda..." refers background in this paper
...f ud[H*(u) - H(u)} = b[H*(b) - H(b)] - a[H*(a) - H(a)} (3) " + f [(H(u) - H*(u)]du....
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...J a Since/(x) has a finite integral over E, bH(b)—>0 as b—>oo and hence also bH*(b)—>0 as b—*<x>; therefore the first term on the right in (3) can be made arbitrarily small in absolute value....
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