Results 91 to 100 of about 78,936 (284)
Asymptotic normality of winsorized means
Stochastic Processes and their Applications, 1988 Given independent, identically distributed random variables \(X_ 1,...,X_ n\), let \(r_ n\) and \(s_ n\) be specified integers satisfying \(1\leq r_ n, s_ n\leq n/2\). A Winsorized mean is constructed by replacing the \(s_ n\) smallest observations and the \(r_ n\) largest observations by the \(s_ n th\) smallest observation and the \(r_ n th\) largest
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Agribusiness, EarlyView.ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
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Confidence sets in nonparametric calibration of exponential Lévy models [PDF]
Confidence intervals and joint confidence sets are constructed for the nonparametric calibration of exponential Lévy models based on prices of European options.
Jakob Söhl
core
Asymptotic Normality of Bispectral Estimates
The Annals of Mathematical Statistics, 1966 The work presented here is a continuation of that presented in an earlier paper, M. Rosenblatt and J. Van Ness [15], in which the basic properties (unbiasedness and consistency) of certain estimates of the bispectrum and bispectral density are discussed.
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Asymptotic normality of the Ward numbers
Discrete Mathematics, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
AIChE Journal, EarlyView.Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
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On Asymptotic Normality in Stochastic Approximation
The Annals of Mathematical Statistics, 1968 A new method, simpler than previous methods due to Chung (1954) and Sacks (1958), is used to prove Theorem 2.2 below, which implies in a simple way all known results on asymptotic normality in various cases of stochastic approximation. Two examples of application are concerned with Venter's (1967) extension of the RM method and Fabian's (1967 ...
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Asymptotic Normality in Nonparametric Methods
The Annals of Mathematical Statistics, 1968 Let $U_1, U_2, \cdots, U_N$ be a random sample from a population with a continuous distribution function and $R_i, i = 1, \cdots, N,$ be the rank of $U_i$ among the $N$ observations. Asymptotic normality is studied for the statistics of the type \begin{equation*}\tag{0.1} \sum^N_{i=1} \sum^N_{j=1} c_{ij}a_N(R_i/N, R_j/N),\end{equation*} where constants
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
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Revstat Statistical JournalIn this paper, we consider the Zenga index, one of the most recent inequality indices. We keep the finite-valued original form and address the asymptotic theory. The asymptotic normality is established through a multinomial representation. The Influence
Tchilabalo Abozou Kpanzou +3 more
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