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Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez +1 more
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Testing the random walk hypothesis for leading cryptocurrencies
Despite the rise in markets for cryptocurrencies at an outstanding pace, with consistently high trading volume and market capitalization, the increasing volatility of the virtual currencies raise various concerns.
Srinivasan Palamalai +2 more
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Deteksi Sinyal : Overview Model Parametrik menggunakan Kriteria Neyman-Pearson
ABSTRAK Deteksi sinyal banyak diimplementasikan dalam sistem pengolahan sinyal yang sangat kompleks. Sebagai contoh digunakan pada sub sistem pengolahan sinyal radar pengintai yang berfungsi untuk deteksi dan pelacakan target.
FIKY YOSEF SURATMAN +2 more
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Non-parametric specification testing of non-nested econometric models [PDF]
We consider the non-nested testing prqblem of non-parametric regressions. We show that, when the regression functions are unknown under both the null and the alternative hypotheses, an extension of the J-test procedure of Davidson and Mackinnon (1981 ...
Delgado, Miguel A. +2 more
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Generalized spectral tests for the martingale difference hypothesis [PDF]
This article proposes a test for the martingale difference hypothesis (MDH) using dependence measures related to the characteristic function. The MDH typically has been tested using the sample autocorrelations or in the spectral domain using the ...
Velasco Gómez, Carlos +4 more
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Classical null hypothesis significance testing is limited to the rejection of the point-null hypothesis; it does not allow the interpretation of non-significant results. This leads to a bias against the null hypothesis.
Ruslan Masharipov +6 more
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This study aims to determine the relationship of teacher involvement in the Subject Teachers Association (MGMP), pedagogical and professional competencies of civic teachers with the learning outcomes of high school students in Malang.
Auliah Safitri, Abdul Gafur
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Basic Statistics for Radiologists: Part 1—Basic Data Interpretation and Inferential Statistics
A systematic approach to statistical analysis is essential for accurate data interpretation and informed decision-making in the rapidly evolving field of radiology. This review provides a comprehensive overview of the fundamental statistical concepts for
Adarsh Anil Kumar +3 more
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Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM
Machine learning has been successfully applied to many areas of science and engineering. Some examples include time series prediction, optical character recognition, signal and image classification in biomedical applications for diagnosis and prognosis ...
J. M. Gorriz +8 more
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Data distribution analysis – a preliminary approach to quantitative data in biomedical research
Statistical analysis is an integral part of medical research. It helps transform raw data into meaningful insights, supports hypothesis testing, optimises study design, assesses risk and prognosis, and facilitates evidence-based decision-making.
Przemysław Guzik, Barbara Więckowska
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