A5070839100- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Statistical Methods in Clinical Trials
- Advanced Statistical Process Monitoring
- Financial Risk and Volatility Modeling
- Probabilistic and Robust Engineering Design
- Optimal Experimental Design Methods
- Toxoplasma gondii Research Studies
- Market Dynamics and Volatility
- Machine Learning and Data Classification
- Sports Analytics and Performance
- Economic Growth and Productivity
- Blood Pressure and Hypertension Studies
- Probability and Risk Models
- Monetary Policy and Economic Impact
- Vector-Borne Animal Diseases
- Acute Ischemic Stroke Management
- Survey Sampling and Estimation Techniques
- Animal Disease Management and Epidemiology
- Bayesian Modeling and Causal Inference
- Mathematical Inequalities and Applications
- Dementia and Cognitive Impairment Research
University of Ioannina
2015-2025
The present research deals with statistical inference for the expectation of a function random vector based on biased samples. After highlighting help motivating example need conducting this study, using concept multivariate weighted distributions, consistent and asymptotically normally distributed estimator is proposed utilized developing inference. A Monte Carlo study carried out to examine performance proposed. Finally, analysis real-world data set illustrates benefits methods
Abstract Depressive symptoms are common in mild cognitive impairment (MCI), dementia caused by Alzheimer’s disease (AD dementia) and cognitively unimpaired older adults. However, it is unclear whether they could contribute to the identification of ageing. To assess potential utility depressive distinguish between healthy ageing MCI AD dementia. The diagnostic workup function 1737 individuals, 334 people with 142 individuals relied on a comprehensive neuropsychiatric assessment, including...
The objective of this study was to apply and preliminarily evaluate a High-Resolution Melting (HRM) analysis technique coupled with qPCR, that allows the simultaneous detection 10 different ruminant abortogenic pathogens, for investigating abortions in sheep goats throughout Greece. A total 264 ovine caprine vaginal swabs were obtained week following abortion from aborted females analyzed using commercially available kit (ID Gene™ Ruminant Abortion Multiplex HRM, Innovative Diagnostics)....
AbstractThis paper presents a family of power divergence-type test statistics for testing the hypothesis elliptical symmetry. We assess performance new statistics, using Monte Carlo simulation. In this context, type I error rate as well tests are studied. Specifically, selected alternatives, we compare proposed procedure with that by Schott [Testing symmetry in covariance-matrix-based analyses, Stat. Probab. Lett. 60 (2002), pp. 395–404]. This last statistic is an easily computed one...
A new method for generating classes of distributions based on the probability-generating function is presented in Aly and Benkherouf [A family probability functions. Sankhya B. 2011;73:70–80]. In particular, they focused their interest to so-called Harris extended distributions. this paper, we provide several general results regarding models such as behaviour failure rate function. We also derive a very useful representation density an absolutely convergent power series survival baseline...
In a recent article, Cardoso de Oliveira and Ferreira have proposed multivariate extension of the univariate chi-squared normality test, using known result for distribution quadratic forms in normal variables. this we propose family power divergence type test statistics testing hypothesis multinormality. The includes as particular case by Ferreira. We assess performance new Monte Carlo simulation. context, I error rates tests are studied, important members. Moreover, significant members...
The problem of classification dimensional coherent elliptic random field observations into one two populations specified by different regression mean models and common stationary scale matrix is considered, under the further assumption that to be classified are dependent on training samples. In this statistical frame, behaviour linear discriminant function studied an asymptotic expression for distribution probabilities misclassification derived.
The likelihood ratio test (LRT) for testing a mean change after an unknown point in sequence of n uncorrelated p-dimensional elliptically contoured distributed observations is established. It shown that the LRT has same form as well null distribution multivariate normal case.
The problem of goodness fit a lognormal distribution is usually reduced to testing the logarithmic data normal distribution. In this paper, new goodness-of-fit tests for are proposed. procedures make use characterization property which states that Kullback–Leibler measure divergence between probability density function (p.d.f) and its r-size weighted p.d.f symmetric only [Tzavelas G, Economou P. Characterization properties log-normal obtained with help measures. Stat Probab Lett....
The case of size-biased sampling known order from a finite population without replacement is considered. behavior such scheme studied with respect to the fraction. Based on simulation study, it concluded that sample cannot be treated either as random parent distribution or corresponding r-size weighted and fraction increases, biasness in decreases resulting transition an r-size-biased sample. A modified version likelihood-free method adopted for making statistical inference unknown...
Abstract One reason for observing in practice a false positive or negative correlation between two random variables, which are either not correlated with different direction, is the overrepresentation sample of individuals satisfying specific properties. In 1946, Berkson first illustrated presence due to this last reason, known as Berkson's paradox and one most famous probability statistics. paper, concept weighted distributions utilized describe Berskon's paradox. Moreover, proper procedure...
Abstract In this article, the multivariate linear regression model is studied under assumptions that error term of described by elliptically contoured distribution and observations on response variables are a monotone missing pattern. It primarily concerned with estimation parameters, as well development likelihood ratio test in order to examine existence constraints coefficients. An illustrative example presented for explanation results. Keywords: Consistency estimatorsElliptically...
Forecast of gross domestic product (GDP) growth differences between countries serves an important role in the justification governments fiscal policy measures and making decisions on future plans. Prior to using predictions practice, one should evaluate proposed prediction algorithm ensure that it produces accurate reliable predictions. This evaluation includes many aspects but most ones is comparison predicted values with actual outcomes. The Organization for Economic Co-operation...