It is well known that the least absolute deviation (LAD) estimators are more robust than the least squares estimators particularly in presence of heavy tail errors. We consider the LAD estimators of the unknown parameters of one dimensional chirp signal model under independent and identically distributed error structure. The proposed estimators are strongly consistent and it is observed that th...

A hybrid genetic algorithm (HGA) approach is proposed for a lot-streaming flow shop scheduling problem, in which a job (lot) is split into a number of smaller sublots so that successive operations can be overlapped. The objective is the minimization of the mean weighted absolute deviation of job completion t imes from due dates.

OBJECTIVE To delineate the clinical behaviour of chronic benign neutropenia in Chinese children in Hong Kong. DESIGN Retrospective study. SETTING University teaching hospital, Hong Kong. PATIENTS All infants and children with absolute neutrophil count of 1.5 x 10(9) /L or lower for more than 3 months. MAIN OUTCOME MEASURES Development of significant infection, and achievement of remissi...

De Moivre gave a simple closed form expression for the mean absolute deviation of the binomial distribution. Later authors showed that similar closed form expressions hold for many of the other classical families. We review the history of these identities and extend them to obtain summation formulas for the expectations of all polynomials orthogonal to the constants.

We propose a least absolute deviation model for obtaining OWA operator weights: Minimize ∑i=n−1 i=1 |wi − wi−1| subject to orness(W ) = ∑n i=1 n−i n−1wi = α, 0 ≤ α ≤ 1, w1 + · · ·+ wn = 1, 0 ≤ wi, i = 1, · · · , n. Recently, the extended minimax disparity problem was proved by Hong [Fuzzy Sets and Systems, 168 (2011) 35-46]. In this paper, we investigated the equivalence of the solutions for th...

An autoregressive-moving average model in which all of the roots of the autoregressive polynomial are reciprocals of roots of the moving average polynomial and vice versa is called an all-pass time series model. All-pass models generate uncorrelated (white noise) time series, but these series are not independent in the non-Gaussian case. An approximation to the likelihood of the model in the ca...

The utility of a recently developed, novel, computational digital image curation tool called SOCKS (Statistical Outlier Curation Kernel Software) is demonstrated in this paper. Raw image-data the James Webb Space Telescope (JWST) used for tests. Data decontaminated through an iterative, parametrically tuned sequence operations involving conditional flagging outliers, followed by flagged pixels....

Excessive weight in adults is a national concern with over 2/3 of the US population deemed overweight. Because being overweight has been correlated to numerous diseases such as heart disease and type 2 diabetes, there is a need to understand mechanisms and predict outcomes of weight change and weight maintenance. A simple mathematical model that accurately predicts individual weight change offe...

a multiple linear regression model is proposed to calculate capacity factor of  analytes using structural features computed using hyperchem software. the  chemical descriptors of analytes were computed using hyperchem software and  regressed against the experimental capacity factors of analytes collected from the  literature. the absolute average percentage deviation (aard) and individual perce...