Asymptotics of the normalizing constant are computed for a class of one parameter exponential families on permutations which include Mallows models with Spearmans’s Footrule and Spearman’s Rank Correlation Statistic. The MLE and a computable approximation of the MLE are shown to be consistent. The pseudo-likelihood estimator of Besag is shown to be √ n-consistent. An iterative algorithm (IPFP) ...

A statistical analysis of transmission holding time data based from two different Public Access Mobile Radio (PAMR) is presented. The data are obtained from digitised conversations by automatically identifying the spectrum of the in-band signalling that limits every transmission. It is shown how the empirical histogram is far from being exponential, which is the type most used in teletraffic is...

OBJECTIVES The aim of the study was to determine which of three two-parameter fitting functions (exponential, linear-log, and negative-power function of time) most accurately models early chromium-51-EDTA (51Cr-EDTA) plasma concentration data prior to 120 min in patients with cirrhosis and ascites and understand how these fitting functions affect the calculation of the area under the plasma con...

The radioactive decay energy (RDE) deposition in supernovae from the decay chain Ni →56Co →56Fe usually directly powers the ultraviolet/optical/infrared (UVOIR) bolometric luminosity of supernovae in their quasi-steady state phase until very late times. The result for this phase is exponential/quasiexponential UVOIR bolometric light curves and often exponential/quasi-exponential broad band ligh...

PURPOSE It is often difficult to estimate parameters from individual clinical data because of noisy or incomplete measurements. Nonlinear mixed-effects (NLME) modeling provides a statistical framework for analyzing population parameters and the associated variations, even when individual data sets are incomplete. The authors demonstrate the application of NLME by analyzing data from the MNREAD,...

This work considers the problem of learning the underlying statistical structure of multidimensional data of mixed probability distribution types (continuous and discrete) for the purpose of fitting a generative model and making decisions in a data-driven manner. Using properties of exponential family distributions and generalizing classical linear statistics techniques, a unified theoretical m...

An extensive data set of 54 time-resolved pump-probe measurements was used to examine CO + He rotational energy transfer within the CO v = 2 rotational manifold. Rotational levels in the range Ji = 2-9 were excited and collisional energy transfer of population to the levels Jf = 1-10 was monitored. The resulting data set was analyzed by fitting to numerical solutions of the master equation. Sta...

fitting of regression models to life data, where the life distribution location parameter is a linear function of covariates. The fitting yields maximum likelihood estimates of parameters of a regression model with a Weibull, exponential, extreme value, normal, lognormal, logistic, loglogistic, or generalized gamma distribution. The data can be complete, right censored, left censored, or interv...

This paper has proposed a new thermal wave image sequence compression algorithm by combining double exponential decay fitting model and differential evolution algorithm. This study benchmarked fitting compression results and precision of the proposed method was benchmarked to that of the traditional methods via experiment; it investigated the fitting compression performance under the long time ...