Results 21 to 30 of about 373,167 (265)

New developments in the ROOT fitting classes [PDF]

EPJ Web of Conferences, 2019
The ROOT Mathematical and Statistical libraries have been recently improved both to increase their performance and to facilitate the modelling of parametric functions that can be used for performing maximum likelihood fits to data sets to estimate ...
Valls Xavier, Moneta Lorenzo, Amadio Guilherme, Tsang Arthur   +3 more
doaj   +1 more source

Copula cosmology: Constructing a likelihood function [PDF]

Physical Review D, 2011
To estimate cosmological parameters from a given dataset, we need to construct a likelihood function, which sometimes has a complicated functional form. We introduce the copula, a mathematical tool to construct an arbitrary multivariate distribution function from one-dimensional marginal distribution functions with any given dependence structure. It is
Sato, Masanori, Ichiki, Kiyotomo, Takeuchi, Tsutomu T.   +2 more
openaire   +2 more sources

Classical and Bayesian Inference of the Inverse Nakagami Distribution Based on Progressive Type-II Censored Samples

Mathematics, 2022
This paper explores statistical inferences when the lifetime of product follows the inverse Nakagami distribution using progressive Type-II censored data.
Liang Wang, Sanku Dey, Yogesh Mani Tripathi   +2 more
doaj   +1 more source

Quasi-Likelihood Functions

The Annals of Statistics, 1983
The connection between quasi-likelihood functions, exponential family models and nonlinear weighted least squares is examined. Consistency and asymptotic normality of the parameter estimates are discussed under second moment assumptions. The parameter estimates are shown to satisfy a property of asymptotic optimality similar in spirit to, but more ...
openaire   +3 more sources

Spatially multi-scale dynamic factor modeling via sparse estimation

International Journal of Mathematics for Industry, 2019
In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
doaj   +1 more source

Indoor Ultra-Wide Band Network Adjustment using Maximum Likelihood Estimation [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
This study is the part of our ongoing research on using ultra-wide band (UWB) technology for navigation at the Ohio State University. Our tests have indicated that the UWB two-way time-of-flight ranges under indoor circumstances follow a Gaussian mixture
Z. Koppanyi, C. K. Toth
doaj   +1 more source

Occupational stress and body composition of hospital workers: a follow-up study

Frontiers in Public Health
This study sought to analyze the influence of occupational stress on the body composition of hospital workers after one year of follow-up. This prospective cohort study included 218 workers from one of the leading private hospitals in the municipality of
Carlos Rodrigo Nascimento de Lira, Rita de Cássia Coelho de Almeida Akutsu, Lorene Gonçalves Coelho, Renata Puppin Zandonadi, Priscila Ribas de Farias Costa   +4 more
doaj   +1 more source

Empirical Likelihood for Non‐Smooth Criterion Functions [PDF]

Scandinavian Journal of Statistics, 2009
Abstract. Suppose thatX1,…, Xnis a sequence of independent random vectors, identically distributed as ad‐dimensional random vectorX. Letbe a parameter of interest andbe some nuisance parameter. The unknown, true parameters (μ0,ν0) are uniquely determined by the system of equationsE{g(X,μ0,ν0)} =  0, whereg =  (g1,…,gp+q) is a vector ofp+qfunctions.
MOLANES LOPEZ, Elisa Maria, VAN KEILEGOM, Ingrid, VERAVERBEKE, Noel   +2 more
openaire   +5 more sources

Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions [PDF]

Journal of the Optical Society of America A, 2007
Maximum-likelihood (ML) estimation in wavefront sensing requires careful attention to all noise sources and all factors that influence the sensor data. We present detailed probability density functions for the output of the image detector in a wavefront sensor, conditional not only on wavefront parameters but also on various nuisance parameters ...
Harrison H, Barrett, Christopher, Dainty, David, Lara   +2 more
openaire   +2 more sources

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware, Colter K. Clayton, Fang Wang, Sedigheh Mirzaei, Kyla Shelton, Tara M. Brinkman, Victoria Willard, Katianne M. Howard Sharp, Kevin Krull, Lindsay F. Schwartz, Melissa M. Hudson, Gregory T. Armstrong, Kirsten K. Ness, Rachel T. Webster   +13 more
wiley   +1 more source