Results 31 to 40 of about 620,297 (279)

Maximum-likelihood estimation for diffusion processes via closed-form density expansions [PDF]

, 2013
This paper proposes a widely applicable method of approximate maximum-likelihood estimation for multivariate diffusion process from discretely sampled data.
Li, Chenxu
core   +1 more source

Estimating common trends in multivariate time series using dynamic factor analysis [PDF]

Environmetrics, 2003
AbstractThis article discusses dynamic factor analysis, a technique for estimating common trends in multivariate time series. Unlike more common time series techniques such as spectral analysis and ARIMA models, dynamic factor analysis can analyse short, non‐stationary time series containing missing values.
A. F. Zuur, R. J. Fryer, I. T. Jolliffe, R. Dekker, J. J. Beukema   +4 more
openaire   +1 more source

Reliable inference for complex models by discriminative composite likelihood estimation

, 2015
Composite likelihood estimation has an important role in the analysis of multivariate data for which the full likelihood function is intractable. An important issue in composite likelihood inference is the choice of the weights associated with lower ...
Ferrari, Davide, Zheng, Chao
core   +1 more source

The t-Distribution Approach to the Second-Order Multiresponse Surface Model of Paracetamol Tablets Quality Characteristics

Applied Sciences, 2023
The normal distribution approach is often used in regression analysis at the Response Surface Methodology (RSM) modeling stage. Several studies have shown that the normal distribution approach has drawbacks compared to the more robust t-distribution ...
Pismia Sylvi, Purhadi Purhadi, Kartika Fithriasari, Sutikno Sutikno   +3 more
doaj   +1 more source

Bayesian Estimation in Multivariate Analysis

The Annals of Mathematical Statistics, 1965
Abstract : The Bayes approach to Multivariate Analysis taken previously by Geisser and Cornfield (JRSS Series B, 1963 No. 2, pp. 368-376) is extended and given a more comprehensive treatment. Posterior joint and marginal densities are derived for vector means, linear combinations of means; simple and partial variances; simple, partial and multiple ...
openaire   +3 more sources

Robust estimation in canonical correlation analysis for multivariate functional data

Hacettepe Journal of Mathematics and Statistics, 2018
Summary: In this paper, the canonical correlation analysis for multivariate functional data is considered. The analysis is based on the basis functions representation of the data. The use of non-orthogonal bases is available in contrast to the approach given in the literature.
KRZYŚKO, Mirosław, SMAGA, łukasz
openaire   +4 more sources

Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse [PDF]

Biometrika, 2018
Tang et al. (2003) considered a regression model with missing response, where the missingness mechanism depends on the value of the response variable and hence is nonignorable. They proposed three pseudolikelihood estimators, based on different treatments of the probability distribution of the completely observed covariates.
Jiwei, Zhao, Yanyuan, Ma
openaire   +2 more sources

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Analysis of methods for multivariable frequency response function estimation in closed loop [PDF]

2007 46th IEEE Conference on Decision and Control, 2007
Estimation methods for the multivariable frequency response function are analyzed, both in open and closed loop. Expressions for the bias and covariance are derived and the usefulness of these expressions is illustrated in simulations of an industrial robot where the different estimators are compared.
Erik Wernholt, Svante Gunnarsson
openaire   +3 more sources

Multivariate Tail Coefficients: Properties and Estimation

Entropy, 2020
Multivariate tail coefficients are an important tool when investigating dependencies between extreme events for different components of a random vector.
Irène Gijbels, Vojtěch Kika, Marek Omelka   +2 more
doaj   +1 more source