Results 21 to 30 of about 1,809,879 (273)
Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case
Energies, 2021 In this work, we investigate a probabilistic method for electricity price forecasting, which overcomes traditional ones. We start considering statistical methods for point forecast, comparing their performance in terms of efficiency, accuracy, and ...
Emma Viviani +2 more
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Decision Maker’s Tool: Statistics, the Problem Solver [PDF]
Westcliff International Journal of Applied Research, 2018 The primary objective of every investor is to see how his money grows. No matter where one decides to plant or invest his money, there is an inevitable process that follows.
Faith Cajudo Orillaza
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Imaging of neural oscillations with embedded inferential and group prevalence statistics. [PDF]
PLoS Computational Biology, 2018 Magnetoencephalography and electroencephalography (MEG, EEG) are essential techniques for studying distributed signal dynamics in the human brain. In particular, the functional role of neural oscillations remains to be clarified. For that reason, imaging
Peter W Donhauser +2 more
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Beyond Statistical Significance: A Holistic View of What Makes a Research Finding "Important"
Numeracy, 2023 Students often believe that statistical significance is the only determinant of whether a quantitative result is “important.” In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can ...
Jane Miller
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Risenologi, 2020 The lack of facilities and infrastructures for students with special needs will hamper the learning process. In fact, this has been explained in the definition of inclusive education which is to accommodate students with special needs to comprehend the ...
Chandra Halim, Febri Satria
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A Simulation Study on Robustness of One Sample Inferential Statistics in Mixture Distribution
African Scientific Reports, 2022 Mixture distribution refers to the combination of more than one probability distribution. Meanwhile, non-normality of data set may be inevitable and the cause may be as a result of mixed distributions thereby renders parametric tests ineffective ...
T. J. Adejumo +3 more
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Statistical Inferential Testing
, 2021 Information on the constituents of rocks, sediments and soil necessarily derive from samples; it is never complete. Inferences drawn from data are uncertain, and the main aim of statistical testing is to attach probabilities to those inferences. The tests are prefaced by hypotheses or models and are designed to refute the hypotheses or determine the ...
openaire +1 more source
Inferential Statistics with Python
, 2022 Diese Arbeit ist als Einführung in die Verwendung von Python für Inferenzstatistik anzusehen. Sie gibt einen kurzen Überblick über die historische Entwicklung der Statistik, erklärt einige wichtige statistische Begriffe und gibt zuletzt Beispiele für ...
Hausmann, Clemens
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Heliyon, 2021 The appropriate acquisition and processing of water quality data are crucial for water resource management. As such, published articles on water quality monitoring and assessment are meant to convey essential and reliable information to water quality ...
Ugochukwu Ewuzie +2 more
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Inferential statistics with original 10 factors.
, 2022 Inferential statistics with original 10 factors.
Šehad Draganović (13970132) +1 more
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