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Materias / palabras clave: statistics, probability, education; Education: Special aspects of education; Science: Mathematics: Probabilities. Mathematical statistics

Materias / palabras clave: statistics, probability, education, data science; Science: Mathematics: Probabilities. Mathematical statistics; Education: Special aspects of education

Materias / palabras clave: statistics, economy, social sciences, statistical science; Social Sciences: Statistics

Materias / palabras clave: mathematical statistics, machine learning, theoretical computer science, signal processing; Science: Mathematics: Probabilities. Mathematical statistics

Materias / palabras clave: statistics, probability, data, applied statistics, statistical science, statistical theory; Social Sciences: Statistics

Materias / palabras clave: economy, statistical methods, econometrics, economic indicators, theoretical statistics, applied statistics; Social Sciences: Statistics

Materias / palabras clave: economics, statistics, macroeconomics; Social Sciences: Statistics; Social Sciences: Economic theory. Demography: Economics as a science

Materias / palabras clave: Social Sciences: Statistics; Science: Mathematics: Probabilities. Mathematical statistics

O objetivo deste trabalho foi avaliar as atitudes de estudantes de Psicologia em relação a estatística, via modelo de créditos parciais da TRI, e suas relações com a autopercepção e desempenho em estatística. Um...

Argentina is going through its deepest crisis since it was established as a modern state on late 19th Century. This situation is not different to that which prevails in other countries in Latin America, so the crisis is ...

The article examines the role of statistical accounting and classification of water resources in ensuring sustainable development, environmental balance, and economic security. Water is not only a fundamental component o...

Abstract Likelihood-based inference for exponential-tail lifetime models can be unstable in finite samples, particularly under right-tail contamination. We develop a robust score-based inference procedure for the two-par...

Abstract In this study, a new three-parameter Lomax distribution is proposed using the beta transformation technique. The new distribution is named Beta Transformed Lomax distribution. Some mathematical properties of the...

Abstract Background In basketball, quadriceps strains and contusions are common due to the muscle’s role in knee extension and hip flexion, with the rectus femoris most prone to injury because it crosses both joints, m...

Federated Prompt Learning (FPL) enables efficient collaborative adaptation of large-scale models, but it remains vulnerable to data heterogeneity: locally optimized prompts may become biased, thereby weakening the aggreg...

Large deviation theory provides a framework to understand macroscopic fluctuations and collective phenomena in many-body nonequilibrium systems in terms of microscopic dynamics. In these lecture notes we discuss the larg...

The statistics of uncertain rock and soil parameters can be updated with the information from different sources such as in-situ measurements and field observations via probabilistic back analysis, which can be further us...

Wave propagation in time-varying media enables unique control of energy transport by breaking energy conservation through temporal modulation. Among the resulting phenomena, temporal disorder – random fluctuations in m...

The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a...

Benjamini and Hochberg suggest that the false discovery rate may be the appropriate error rate to control in many applied multiple testing problems. A simple procedure was given there as an FDR controlling procedure for ...

Preface to the Third Edition.Preface to the Second Edition.Preface to the First Edition.1. Introduction.2. The Multivariate Normal Distribution.3. Estimation of the Mean Vector and the Covariance Matrix.4. The Distributi...

This paper gives a systematic application of maximum likelihood inference concerning cointegration vectors in non-stationary vector valued autoregressive time series models with Gaussian errors, where the model includes ...

Preface. Introduction. Data Sets. Tests of Statistical Significance of Combined Results. Vote-Counting Methods. Estimation of a Single Effect Size: Parametric and Nonparametric Methods. Parametric Estimation of Effect Si...

Abstract A number of panel unit root tests that allow for cross‐section dependence have been proposed in the literature that use orthogonalization type procedures to asymptotically eliminate the cross‐dependence of t...