Results 11 to 20 of about 419,428 (264)
GeneTools – application for functional annotation and statistical hypothesis testing [PDF]
BMC Bioinformatics, 2006 Background Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement of thousands of genes.
Vidar Beisvåg +9 more
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A study on the criticism and alternatives about statistical hypothesis testing of sport management in Korea [PDF]
Cheyuk gwahag yeon-gu, 2020 Purpose This study was aimed at laying out criticism regarding statistical hypothesis testing and presenting realistic alternatives focused on published studies of sports management in Korea.
Sanghyun Park
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Hypothesis testing and statistical analysis of microbiome
Genes & Diseases, 2017 After the initiation of Human Microbiome Project in 2008, various biostatistic and bioinformatic tools for data analysis and computational methods have been developed and applied to microbiome studies. In this review and perspective, we discuss the research and statistical hypotheses in gut microbiome studies, focusing on mechanistic concepts that ...
Yinglin Xia, Jun Sun
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A critique of statistical hypothesis testing in clinical research
Journal of Ayurveda and Integrative Medicine, 2011 Many have documented the difficulty of using the current paradigm of Randomized Controlled Trials (RCTs) to test and validate the effectiveness of alternative medical systems such as Ayurveda. This paper critiques the applicability of RCTs for all clinical knowledge-seeking endeavors, of which Ayurveda research is a part.
Somik Raha
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An Introduction to Statistics: Understanding Hypothesis Testing and Statistical Errors
Indian Journal of Critical Care Medicine, 2019 The second article in this series on biostatistics covers the concepts of sample, population, research hypotheses and statistical errors.Ranganathan P, Pramesh CS. An Introduction to Statistics: Understanding Hypothesis Testing and Statistical Errors. Indian J Crit Care Med 2019;23(Suppl 3):S230-S231.
Pramesh Cs, Priya Ranganathan
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Statistical Estimation and Hypothesis Testing on Impulse Response Function
Austrian Journal of StatisticsIn this paper a time-invariant continuous linear system is considered with a real-valued impulse response function (IRF) which is defined on a bounded domain. A sample input- output cross-correlogram is taken as an estimator of the response function.
Iryna Rozora, A. O. Melnyk
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Statistical Hypothesis Testing for Asymmetric Tolerance Index
Applied Sciences, 2021 Many of the nominal-the-best quality characteristics of important machine tool components, such as inner or outer diameters, have asymmetric tolerances. An asymmetric tolerance index is a function for the average of the process and the standard deviation.
Kuen-Suan Chen +3 more
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Large Deviation Analysis of Score-based Hypothesis Testing [PDF]
arXivScore-based statistical models play an important role in modern machine learning, statistics, and signal processing. For hypothesis testing, a score-based hypothesis test is proposed in \cite{wu2022score}. We analyze the performance of this score-based hypothesis testing procedure and derive upper bounds on the probabilities of its Type I and II errors.
Enmao Diao +2 more
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Statistical hypothesis testing: general approach in medical research
Сеченовский вестник, 2021 Statistical hypothesis testing is one of the key steps in modern medical research. Initially, scientists formulate a research hypothesis based on which the statistical hypothesis is then developed and statistically tested.
A. Yu. Suvorov +6 more
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Hypothesis testing based on a vector of statistics [PDF]
Journal of Econometrics, 2020 This paper presents a new approach to hypothesis testing based on a vector of statistics. It involves simulating the statistics under the null hypothesis and then estimating the joint density of the statistics. This allows the p-value of the smallest acceptance region test to be estimated.
King, Maxwell L. +2 more
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