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Journal articles on the topic 'Unconditional Maximum Likelihood'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

De Leeuw, Jan, and Norman Verhelst. "Maximum Likelihood Estimation in Generalized Rasch Models." Journal of Educational Statistics 11, no. 3 (1986): 183–96. http://dx.doi.org/10.3102/10769986011003183.

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We review various models and techniques that have been proposed for item analysis according to the ideas of Rasch. A general model is proposed that unifies them, and maximum likelihood procedures are discussed for this general model. We show that unconditional maximum likelihood estimation in the functional Rasch model, as proposed by Wright and Haberman, is an important special case. Conditional maximum likelihood estimation, as proposed by Rasch and Andersen, is another important special case. Both procedures are related to marginal maximum likelihood estimation in the structural Rasch model

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2

Hernandez, Dario Bonilla, David Covarrubias Rosales, and Jose Arceo Olague. "Near Field Source Separation Improvement Through Unconditional Maximum Likelihood Estimator." IEEE Latin America Transactions 4, no. 6 (2006): 403–8. http://dx.doi.org/10.1109/tla.2006.4472144.

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Mestre, Xavier, and Pascal Vallet. "On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation." IEEE Transactions on Signal Processing 68 (August 1, 2020): 4656–71. https://doi.org/10.1109/TSP.2020.3015046.

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After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) algorithms still provide the best performance in terms of resolution capabilities. At the cost of a multidimensional search, ML algorithms achieve a significant reduction of the outlier production mechanism in the threshold region, where the number of snapshots per antenna and/or the signal to noise ratio (SNR) are low. The objective of this paper is to characterize the resolution capabilities of ML algorithms in the threshold region. Both conditional and unconditional versions of the ML algorithm

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4

Katz, Ethan. "Bias in Conditional and Unconditional Fixed Effects Logit Estimation." Political Analysis 9, no. 4 (2001): 379–84. http://dx.doi.org/10.1093/oxfordjournals.pan.a004876.

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Fixed-effects logit models can be useful in panel data analysis, when N units have been observed for T time periods. There are two main estimators for such models: unconditional maximum likelihood and conditional maximum likelihood. Judged on asymptotic properties, the conditional estimator is superior. However, the unconditional estimator holds several practical advantages, and therefore I sought to determine whether its use could be justified on the basis of finite-sample properties. In a series of Monte Carlo experiments for T < 20, I found a negligible amount of bias in both estimators

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Mestre, Xavier, and Pascal Vallet. "On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation." IEEE Transactions on Signal Processing 68 (2020): 4656–71. http://dx.doi.org/10.1109/tsp.2020.3015046.

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Olague, Jose Arceo, David Covarrubias Rosales, and Jose Luna Rivera. "Efficiency Evaluation of the Unconditional Maximum Likelihood Estimator for Near-Field DOA Estimation." ETRI Journal 28, no. 6 (2006): 761–69. http://dx.doi.org/10.4218/etrij.06.0106.0006.

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7

Vincent, Francois, Olivier Besson, and Eric Chaumette. "Approximate Unconditional Maximum Likelihood Direction of Arrival Estimation for Two Closely Spaced Targets." IEEE Signal Processing Letters 22, no. 1 (2015): 86–89. http://dx.doi.org/10.1109/lsp.2014.2348011.

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He, Zhulin, and Babette A. Brumback. "An Equivalence of Conditional and Unconditional Maximum Likelihood Estimators via Infinite Replication of Observations." Communications in Statistics - Theory and Methods 42, no. 18 (2013): 3267–79. http://dx.doi.org/10.1080/03610926.2011.626547.

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9

Shin, Dong Wan, and Wayne Fuller. "Unit Root Tests Based on Unconditional Maximum Likelihood Estimation for the Autoregressive Moving Average." Journal of Time Series Analysis 19, no. 5 (1998): 591–99. http://dx.doi.org/10.1111/1467-9892.00110.

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Çekli, Erdinç, and Hakan A. Çırpan. "Unconditional Maximum Likelihood Approach for Localization of Near-Field Sources: Algorithm and Performance Analysis." AEU - International Journal of Electronics and Communications 57, no. 1 (2003): 9–15. http://dx.doi.org/10.1078/1434-8411-54100135.

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11

Elhorst, J. Paul. "Unconditional Maximum Likelihood Estimation of Linear and Log-Linear Dynamic Models for Spatial Panels." Geographical Analysis 37, no. 1 (2005): 85–106. http://dx.doi.org/10.1111/j.1538-4632.2005.00577.x.

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CAMPOS-FILHO, NELSON, and EDUARDO L. FRANCO. "A MICROCOMPUTER PROGRAM FOR MULTIPLE LOGISTIC REGRESSION BY UNCONDITIONAL AND CONDITIONAL MAXIMUM LIKELIHOOD METHODS1." American Journal of Epidemiology 129, no. 2 (1989): 439–44. http://dx.doi.org/10.1093/oxfordjournals.aje.a115148.

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Asai, Manabu, Chia-Lin Chang, Michael McAleer, and Laurent Pauwels. "Asymptotic and Finite Sample Properties for Multivariate Rotated GARCH Models." Econometrics 9, no. 2 (2021): 21. http://dx.doi.org/10.3390/econometrics9020021.

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This paper derives the statistical properties of a two-step approach to estimating multivariate rotated GARCH-BEKK (RBEKK) models. From the definition of RBEKK, the unconditional covariance matrix is estimated in the first step to rotate the observed variables in order to have the identity matrix for its sample covariance matrix. In the second step, the remaining parameters are estimated by maximizing the quasi-log-likelihood function. For this two-step quasi-maximum likelihood (2sQML) estimator, this paper shows consistency and asymptotic normality under weak conditions. While second-order mo

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14

Lee, Taiyeong, and David A. Dickey. "Limiting distributions of unconditional maximum likelihood unit root test statistics in seasonal time-series models." Journal of Time Series Analysis 25, no. 4 (2004): 551–61. http://dx.doi.org/10.1111/j.1467-9892.2004.01814.x.

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15

Lopez-Salcedo, J. A., and G. Vazquez. "Asymptotic equivalence between the unconditional maximum likelihood and the square-law nonlinearity symbol timing estimation." IEEE Transactions on Signal Processing 54, no. 1 (2006): 244–57. http://dx.doi.org/10.1109/tsp.2005.859245.

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16

Renaux, Alexandre, Philippe Forster, Eric Boyer, and Pascal Larzabal. "Unconditional Maximum Likelihood Performance at Finite Number of Samples and High Signal-to-Noise Ratio." IEEE Transactions on Signal Processing 55, no. 5 (2007): 2358–64. http://dx.doi.org/10.1109/tsp.2007.893205.

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17

Formann, Anton K. "Measuring Change in Latent Subgroups Using Dichotomous Data: Unconditional, Conditional, and Semiparametric Maximum Likelihood Estimation." Journal of the American Statistical Association 89, no. 427 (1994): 1027–34. http://dx.doi.org/10.1080/01621459.1994.10476838.

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18

Mittnik, Stefan. "Derivation of the unconditional state-covariance matrix for exact maximum-likelihood estimation of ARMA models." Journal of Economic Dynamics and Control 15, no. 4 (1991): 731–40. http://dx.doi.org/10.1016/0165-1889(91)90041-x.

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19

J. Hodgson, Douglas. "Unconditional pseudo-maximum likelihood and adaptive estimation in the presence of conditional heterogeneity of unknown form." Econometric Reviews 19, no. 2 (2000): 175–206. http://dx.doi.org/10.1080/07474930008800467.

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20

Jandhyala, Venkata K., Stergios B. Fotopoulos, and Nicholas E. Evaggelopoulos. "A comparison of unconditional and conditional solutions to the maximum likelihood estimation of a change-point." Computational Statistics & Data Analysis 34, no. 3 (2000): 315–34. http://dx.doi.org/10.1016/s0167-9473(99)00102-4.

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21

Wright, Benjamin. "The Efficacy of Unconditional Maximum Likelihood Bias Correction: Comment on Jansen, van den Wollenberg, and Wierda." Applied Psychological Measurement 12, no. 3 (1988): 315–18. http://dx.doi.org/10.1177/014662168801200309.

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22

Zou, Nan, Zhenqi Jia, Jin Fu, Jia Feng, and Mengqi Liu. "A Geometric Calibration Method of Hydrophone Array Based on Maximum Likelihood Estimation with Sources in Near Field." Journal of Marine Science and Engineering 8, no. 9 (2020): 678. http://dx.doi.org/10.3390/jmse8090678.

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Considering the requirement of the near-field calibration under strong underwater multipath condition, a high-precision geometric calibration method based on maximum likelihood estimation is proposed. It can be used as both auxiliary-calibration and self-calibration. According to the near-field geometry error model, the objective function of nonlinear optimization problem is constructed by using the unconditional maximum likelihood estimator. The influence of multipath on geometric calibration is studied. The strong reflections are considered as the coherent sources, and the compensation strat

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23

Mukherjee, Kanchan. "M-ESTIMATION IN GARCH MODELS." Econometric Theory 24, no. 6 (2008): 1530–53. http://dx.doi.org/10.1017/s0266466608080602.

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This paper derives asymptotic normality of a class of M-estimators in the generalized autoregressive conditional heteroskedastic (GARCH) model. The class of estimators includes least absolute deviation and Huber's estimator in addition to the well-known quasi maximum likelihood estimator. For some estimators, the asymptotic normality results are obtained only under the existence of fractional unconditional moment assumption on the error distribution and some mild smoothness and moment assumptions on the score function.

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24

Starer, D., and A. Nehorai. "Newton algorithms for conditional and unconditional maximum likelihood estimation of the parameters of exponential signals in noise." IEEE Transactions on Signal Processing 40, no. 6 (1992): 1528–34. http://dx.doi.org/10.1109/78.139255.

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25

Paun, Mihaela, Nevine Gunaime, and Bogdan M. Strimbu. "Impact of Algorithm Selection on Modeling Ozone Pollution: A Perspective on Box and Tiao (1975)." Forests 11, no. 12 (2020): 1311. http://dx.doi.org/10.3390/f11121311.

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Estimation using a suboptimal method can lead to imprecise models, with cascading effects in complex models, such as climate change or pollution. The goal of this study is to compare the solutions supplied by different algorithms used to model ozone pollution. Using Box and Tiao (1975) study, we have predicted ozone concentration in Los Angeles with an ARIMA and an autoregressive process. We have solved the ARIMA process with three algorithms (i.e., maximum likelihood, like Box and Tiao, conditional least square and unconditional least square) and the autoregressive process with four algorithm

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26

Ward, Michael D., and Kristian Skrede Gleditsch. "Location, Location, Location: An MCMC Approach to Modeling the Spatial Context of War and Peace." Political Analysis 10, no. 3 (2002): 244–60. http://dx.doi.org/10.1093/pan/10.3.244.

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This article demonstrates how spatially dependent data with a categorical response variable can be addressed in a statistical model. We introduce the idea of an autologistic model where the response for one observation is dependent on the value of the response among adjacent observations. The autologistic model has likelihood function that is mathematically intractable, since the observations are conditionally dependent upon one another. We review alternative techniques for estimating this model, with special emphasis on recent advances using Markov chain Monte Carlo (MCMC) techniques. We eval

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27

Fernández, Arturo J. "Optimal Confidence Regions for Weibull Parameters and Quantiles under Progressive Censoring." Algorithms 16, no. 9 (2023): 427. http://dx.doi.org/10.3390/a16090427.

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Confidence regions for the Weibull parameters with minimum areas among all those based on the Conditionality Principle are constructed using an equivalent diffuse Bayesian approach. The process is valid for scenarios involving standard failure and progressive censorship, and complete data. Optimal conditional confidence sets for two Weibull quantiles are also derived. Simulation-based algorithms are provided for computing the smallest-area regions with fixed confidence levels. Importantly, the proposed confidence sets satisfy the Sufficiency, Likelihood and Conditionality Principles in contras

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28

KISETA, Jacques SABITI, and Roger LIENDI AKUMOSO. "A Review of Well-Known Robust Line Search and Trust Region Numerical Optimization Algorithms for Solving Nonlinear Least-Squares Problems." International Science Review 2, no. 3 (2021): 1–17. http://dx.doi.org/10.47285/isr.v2i3.106.

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The conditional, unconditional, or the exact maximum likelihood estimation and the least-squares estimation involve minimizing either the conditional or the unconditional residual sum of squares. The maximum likelihood estimation (MLE) approach and the nonlinear least squares (NLS) procedure involve an iterative search technique for obtaining global rather than local optimal estimates. Several authors have presented brief overviews of algorithms for solving NLS problems. Snezana S. Djordjevic (2019) presented a review of some unconstrained optimization methods based on the line search techniqu

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29

Nafidi, Ahmed, Ilyasse Makroz, and Ramón Gutiérrez Sánchez. "A Stochastic Lomax Diffusion Process: Statistical Inference and Application." Mathematics 9, no. 1 (2021): 100. http://dx.doi.org/10.3390/math9010100.

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In this paper, we discuss a new stochastic diffusion process in which the trend function is proportional to the Lomax density function. This distribution arises naturally in the studies of the frequency of extremely rare events. We first consider the probabilistic characteristics of the proposed model, including its analytic expression as the unique solution to a stochastic differential equation, the transition probability density function together with the conditional and unconditional trend functions. Then, we present a method to address the problem of parameter estimation using maximum like

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30

Alsheyab, Safa', and Mohammed K. Shakhatreh. "A new stochastic diffusion process based on generalized Gamma-like curve: inference, computation, with applications." AIMS Mathematics 9, no. 10 (2024): 27687–703. http://dx.doi.org/10.3934/math.20241344.

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<p>This paper introduces a novel non-homogeneous stochastic diffusion process, useful for modeling both decreasing and increasing trend data. The model is based on a generalized Gamma-like curve. We derive the probabilistic characteristics of the proposed process, including a closed-form unique solution to the stochastic differential equation, the transition probability density function, and both conditional and unconditional trend functions. The process parameters are estimated using the maximum likelihood (ML) method with discrete sampling paths. A small Monte Carlo experiment is condu

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31

Mozumder, Sharif, Michael Dempsey, and M. Humayun Kabir. "Back-testing extreme value and Lévy value-at-risk models." Journal of Risk Finance 18, no. 1 (2017): 88–118. http://dx.doi.org/10.1108/jrf-03-2016-0029.

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Purpose The purpose of the paper is to back-test value-at-risk (VaR) models for conditional distributions belonging to a Generalized Hyperbolic (GH) family of Lévy processes – Variance Gamma, Normal Inverse Gaussian, Hyperbolic distribution and GH – and compare their risk-management features with a traditional unconditional extreme value (EV) approach using data from future contracts return data of S&P500, FTSE100, DAX, HangSeng and Nikkei 225 indices. Design/methodology/approach The authors apply tail-based and Lévy-based calibration to estimate the parameters of the models as part of the

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32

Łuczyński, Wiesław Edward. "Prognozowanie dynamiki gospodarczej Niemiec z pomocą modeli warunkowych (1992-2014)." Central European Review of Economics and Management 16, no. 3 (2016): 41. http://dx.doi.org/10.29015/cerem.206.

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A great diversity characterizes economic dynamics of Germany over a long period of time. This refers to many time series: in some periods, they show large volatility which then moves into stability and stagnation phase, generating specific difficulties in a long-term forecasting of economic dynamics. The aim of the research is the attempt to determine the prognostic efficiency of conditional modelling and to answer the question whether or not conditional errors are significantly smaller than the unconditional ones in long-term forecasting.The research showed that conditional errors (root mean

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33

Sato, Aki Hiro. "A Method to Quantify Risks of Financial Assets: An Empirical Analysis of Japanese Security Prices." Advanced Materials Research 452-453 (January 2012): 469–73. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.469.

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This study investigates unconditional distributions of daily log-returns of Japanese security prices from a comprehensive point of view. The purpose of this article is to estimate a risk distribution of stocks in terms of Value-at-Risk (VaR) in order to select low risk securities from many securities. Daily log-return time series of 1,340 Japanese companies listed on the first section of Tokyo Stock Exchange are examined during the last one decade. I develop a method to estimate VaR by both the maximum likelihood estimation procedure under a q-Gaussian assumption and analytical form of its cum

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Chen, Tsung-Hao, Chen-Yuan Chen, Hsien-Chueh Peter Yang, and Cheng-Wu Chen. "A Mathematical Tool for Inference in Logistic Regression with Small-Sized Data Sets: A Practical Application on ISW-Ridge Relationships." Mathematical Problems in Engineering 2008 (2008): 1–12. http://dx.doi.org/10.1155/2008/186372.

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The general approach to modeling binary data for the purpose of estimating the propagation of an internal solitary wave (ISW) is based on the maximum likelihood estimate (MLE) method. In cases where the number of observations in the data is small, any inferences made based on the asymptotic distribution of changes in the deviance may be unreliable for binary data (the model's lack of fit is described in terms of a quantity known as the deviance). The deviance for the binary data is given by D. Collett (2003). may be unreliable for binary data. Logistic regression shows that theP-values for the

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35

Aarstad, Jarle, and Olav Andreas Kvitastein. "What Predicts Long-Term Absenteeism, and Who Disappears from the Workforce When Enterprises Downsize?" Economies 12, no. 1 (2024): 13. http://dx.doi.org/10.3390/economies12010013.

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This paper primarily studies how wages predict long-term absenteeism in enterprises. In addition, it studies who disappears from the workforce when downsizing. Analyzing Norwegian enterprise data using dynamic unconditional quasi-maximum likelihood fixed-effects panel regression and general methods of moments panel regression with instrumental variables, we find that increasing average wages decreases average long-term absenteeism. As the effect barely abates the following year, it likely reflects highly skilled and motivated employees in good health receiving a wage premium and not a stimulus

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Aarstad, Jarle, and Olav Andreas Kvitastein. "Effect of Long-Term Absenteeism on the Operating Revenues, Productivity, and Employment of Enterprises." Administrative Sciences 13, no. 6 (2023): 156. http://dx.doi.org/10.3390/admsci13060156.

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(1) Background: Previous studies have shown that absenteeism is negatively associated with employee-level performance, but we do not know how exactly absenteeism affects enterprise-level performance. To bridge this knowledge gap, we investigate how average long-term absenteeism affects Norwegian enterprises’ operating revenues and productivity. Also, we investigate if absenteeism decreases employment and whether operating revenues mediate the association. (2) Methods: We performed an enterprise-level dynamic unconditional quasi-maximum likelihood fixed-effects panel regression. (3) Results: Th

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Niklitschek, Edwin J., and Audrey M. Darnaude. "Performance of maximum likelihood mixture models to estimate nursery habitat contributions to fish stocks: a case study on sea breamSparus aurata." PeerJ 4 (October 4, 2016): e2415. http://dx.doi.org/10.7717/peerj.2415.

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BackgroundMixture models (MM) can be used to describe mixed stocks considering three sets of parameters: the total number of contributing sources, their chemical baseline signatures and their mixing proportions. When all nursery sources have been previously identified and sampled for juvenile fish to produce baseline nursery-signatures, mixing proportions are the only unknown set of parameters to be estimated from the mixed-stock data. Otherwise, the number of sources, as well as some/all nursery-signatures may need to be also estimated from the mixed-stock data. Our goal was to assess bias an

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38

TOMAZELLA, Vera Lucia Damasceno, Eder Ângelo MILANI, and Teresa Cristina Martins DIAS. "GOMPERTZ REGRESSION MODEL WITH GAMMA FRAILTY: A STUDY ON THE APPLICATION IN LUNG CANCER." REVISTA BRASILEIRA DE BIOMETRIA 36, no. 4 (2018): 860. http://dx.doi.org/10.28951/rbb.v36i4.312.

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Survival models with frailty are used when some variables are non-available to explain the occurrence time of an event of interest. This non-availability may be considered as a random effect related to unobserved covariates, or that cannot be measured, such as environmental or genetic factors. This paper focuses on the Gamma-Gompertz (denoted by G-G) model that is one of a class of models that investigate the effects of unobservable heterogeneity. We assume that the baseline mortality rate in the G-G model is the Gompertz model, in which mortality increases exponentially with age and the frail

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39

Hamidi Machekposhti, Karim, Hossein Sedghi, Abdolrasoul Telvari, and Hossein Babazadeh. "Forecasting by Stochastic Models to Inflow of Karkheh Dam at Iran." Civil Engineering Journal 3, no. 5 (2017): 340–50. http://dx.doi.org/10.28991/cej-2017-00000095.

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Forecasting the inflow of rivers to reservoirs of dams has high importance and complexity. Design and optimal operation of the dams is essential. Mathematical and analytical methods use for understanding estimating and prediction of inflow to reservoirs in the future. Various methods including stochastic models can be used as a management tool to predict future values of these systems. In this study stochastic models (ARIMA) are applied to records of mean annual flow Karkheh river entrance to Karkheh dam in the west of Iran. For this purpose we collected annual flow during the period from 1958

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40

Armisen, R., J. Sierralta, P. Velez, D. Naranjo, and B. A. Suarez-Isla. "Modal gating in neuronal and skeletal muscle ryanodine-sensitive Ca2+ release channels." American Journal of Physiology-Cell Physiology 271, no. 1 (1996): C144—C153. http://dx.doi.org/10.1152/ajpcell.1996.271.1.c144.

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The bursting behavior of ryanodine-sensitive single Ca2+ release channels present in chicken cerebellum endoplasmic reticulum (ER), rat hippocampus ER, and frog and rabbit skeletal muscle sarcoplasmic reticulum was established. Unconditional dwell time distributions fitted by the maximum likelihood method reveal at least three open and closed exponential components. Trains of low open probability (P(o)) bursts were interspersed with trains of high P(o) bursts (> or = 0.8) in all the ryanodine receptor isotypes tested. The gating kinetics of the Ca2+ release channels were defined in long rec

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Hsieh, Ming-Feng, and Yir-Hueih Luh. "Is Contract Farming with Modern Distributors Partnership for Higher Returns? Analysis of Rice Farm Households in Taiwan." Sustainability 14, no. 22 (2022): 15188. http://dx.doi.org/10.3390/su142215188.

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This study provides empirical evidence of the economic effect of contract farming for the agriculture sector dominated by smallholder farms. In light of the association between contract farming and modern food distribution channels, we categorize the adoption decisions of contract farming and modern marketing channels into four mutually exclusive choices and investigate their economic effects through the simulated maximum likelihood estimation of the multinomial treatment effects model. The results provide empirical evidence supporting higher returns from the dual partnerships as choosing mode

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Paragomi, Pedram, Bashir Dabo, Claudio Pelucchi, et al. "The Association between Peptic Ulcer Disease and Gastric Cancer: Results from the Stomach Cancer Pooling (StoP) Project Consortium." Cancers 14, no. 19 (2022): 4905. http://dx.doi.org/10.3390/cancers14194905.

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Background. Gastric cancer (GC) is the fifth most common type of cancer and the fourth most common cause of cancer-related mortality. Although the risk of GC and peptic ulcer disease (PUD) is known to be increased by H. pylori infection, evidence regarding the direct relationship between PUD and GC across ethnicities is inconclusive. Therefore, we investigated the association between PUD and GC in the Stomach cancer Pooling (StoP) consortium. Methods. History of peptic ulcer disease was collected using a structured questionnaire in 11 studies in the StoP consortium, including 4106 GC cases and

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43

Lu, Weinan, Apurbo Sarkar, Mengyang Hou, et al. "The Impacts of Urbanization to Improve Agriculture Water Use Efficiency—An Empirical Analysis Based on Spatial Perspective of Panel Data of 30 Provinces of China." Land 11, no. 1 (2022): 80. http://dx.doi.org/10.3390/land11010080.

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China has witnessed accelerated urbanization since the reforms and open policies which began in 1978. This eventually resulted in increased residential water requirements and worsening water shortages, particularly in the current century. In the context of resource and environmental constraints, improving agricultural water use efficiency (AWUE) is a crucial issue to ensure food security, improve the ecological environment, and meet the needs of sustainable agricultural development. Based on the panel data of 30 provinces in China from 1999 to 2018, the article uses the Super-SBM model to meas

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Chen, Yongfu, Wenbo Zhu, and Ziyuan Chen. "The determinants of mutton consumption-at-home in urban China using an IHS double-hurdle model." British Food Journal 120, no. 5 (2018): 952–68. http://dx.doi.org/10.1108/bfj-06-2017-0337.

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Purpose China is not only the biggest mutton consumer, but also the top mutton importer in the world. China’s urban households are becoming the key driving force behind a surge in mutton consumption. Therefore, the purpose of this paper is to investigate the determinants of mutton demand in urban China. Design/methodology/approach Based on a sample of 32,910 urban households across six provinces and autonomous regions, an inverse hyperbolic sine (IHS) double-hurdle model is estimated, by maximum likelihood estimation, to reveal the determinants of mutton consumption-at-home. Findings The empir

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45

Huang, F. Mey, and J. Buongiorno. "Market Value of Timber When Some Offerings Are Not Sold: Implications for Appraisal and Demand Analysis." Forest Science 32, no. 4 (1986): 845–54. http://dx.doi.org/10.1093/forestscience/32.4.845.

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Abstract A model of market value was developed for tracts of timber sold at auction for a minimum appraised value, when a substantial number of the tracts offered do not receive a bid. In this model, market value is a function of the characteristics of the timber and of market conditions, but market value is observed and equal to the high bid only if it is greater than the appraised value. This tobit model leads to the probability of selling a tract of given characteristics, conditional on a certain appraised value. Symmetrically, the model yields the appraised value that ensures a certain pro

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Olusoji, Rahman Adesoji, Yong Eun, Rajaa Mohamed Salih, Noah Osei, and Meena Ahluwalia. "Adrenal insufficiency in patients on immune checkpoint inhibitors: An All of Us Data study." Journal of Clinical Oncology 41, no. 16_suppl (2023): e14675-e14675. http://dx.doi.org/10.1200/jco.2023.41.16_suppl.e14675.

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e14675 Background: Immune Checkpoint Inhibitors have revolutionized the management of cancers. Several cases are reported about their adverse effects, which include adrenal insufficiency, a life-threatening irreversible sequela in some patients. Little has been done to evaluate the burden of this adverse effect on cancer patients. This study aimed to measure the incidence rate of adrenal insufficiency in patients on immune checkpoint inhibitors in the United States using the All Of Us database. Methods: In this cross-sectional study, we included participants from the All of Us dataset version

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Schlögl, Matthias, and Gregor Laaha. "Extreme weather exposure identification for road networks – a comparative assessment of statistical methods." Natural Hazards and Earth System Sciences 17, no. 4 (2017): 515–31. http://dx.doi.org/10.5194/nhess-17-515-2017.

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Abstract. The assessment of road infrastructure exposure to extreme weather events is of major importance for scientists and practitioners alike. In this study, we compare the different extreme value approaches and fitting methods with respect to their value for assessing the exposure of transport networks to extreme precipitation and temperature impacts. Based on an Austrian data set from 25 meteorological stations representing diverse meteorological conditions, we assess the added value of partial duration series (PDS) over the standardly used annual maxima series (AMS) in order to give reco

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Osei, Noah, Yong Eun, Rajaa Mohamed Salih, Rahman Adesoji Olusoji, and Meena Ahluwalia. "Prevalence of hypertension, hyperlipidemia and diabetes in colon cancer patients and its impact on physical health and quality of life reported in the All of Us research program." Journal of Clinical Oncology 41, no. 16_suppl (2023): e15515-e15515. http://dx.doi.org/10.1200/jco.2023.41.16_suppl.e15515.

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e15515 Background: The NIH All of Us research program is a prospective, nationwide cohort study currently enrolling more than 594,000 people in the United States. Chronic diseases such as hypertension (HTN), type 2 diabetes mellitus (T2DM), and hyperlipidemia (HLD) are associated with increased morbidity and mortality in cancer patients. Few studies have assessed the impact of each illness on colon cancer patients using extensive population data in the United States. In this study, we investigate the prevalence of these disorders in colon cancer patients and how they affect physical health and

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Federici, Augusto B., Mariagrazia Rumi, Elena Santagostino, Antonio Russo, Massimo Colombo, and Pier M. Mannucci. "The Impact of the First Exposure to Different Blood Products on the Prevalence and Natural History of Hepatitis C Virus Infection in Von Willebrand Disease (VWD): Results from a Large Cohort Study Comparing VWD and Hemophilia Patients." Blood 104, no. 11 (2004): 4108. http://dx.doi.org/10.1182/blood.v104.11.4108.4108.

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Abstract Background: Hepatitis C virus (HCV) infection is a major cause of morbidity and mortality in patients with inherited bleeding disorders who received clotting factors concentrates before the introduction of viral inactivation procedures in the mid 1980s. Severity of hepatitis C has been largely associated to male gender, long duration of infection, high prevalence of genotype 1, high levels of viremia and multiple inocula with HCV. Compared to hemophiliacs (HEM), patients with von Willebrand disease (VWD) have been less extensively exposed to large-pool concentrates because they usuall

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Gregory, Madeline A., Alexandre Henri-Bhargava, and Theone S. E. Paterson. "41 The Role of Physical Activity, Social Support and Genetic Risk in Age-Related Cognitive Decline Over Time: A UK Biobank Study." Journal of the International Neuropsychological Society 29, s1 (2023): 350–51. http://dx.doi.org/10.1017/s1355617723004770.

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Objective:This study aimed to determine how modifiable risk factors, such as physical exercise and social support, and non-modifiable risk factors, such as genetic risk may affect cognitive function over time in older adults. As well, the study explored how changes in modifiable risk factors (i.e., increase in exercise) may affect cognitive function over time. This research question was shaped with the help of a patient partner team.Participants and Methods:The study used UK Biobank data, and patient partners were involved in shaping research questions/goals. The UK Biobank study had participa

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