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25 articles for “Random Sample Size”

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Research ArticleOpen accessIn the keywordsPrediction Intervals for Future Observations Based on Samples of Random SizesMohammad Z. Raqab, Haroon M. BarakatOn the basis of failure times of an informative sample (X-sample) of random size M of iid continuous random variables, we consider the prediction problem of failure times of another independent future sample (Y-sample) of random size N of iid variables from the same distribution. In this paper, we derive various exact prediction intervals for future failure times from the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 2 Jan 2018 · 7,902 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticle Size Determination in Rice Bran Testing with Various Levels of Rice Husks Using Ultrasonic WavesUrip Rosani, Iman Hernaman, Rahmat Hidayat, Darmawan HidayatThe principle of ultrasonic waves in detecting materials is based on their physical properties. The size of particles has an impact on various aspects of their composition and function. The limited information that reports the particle size of RH-contaminated RB samples tested using ultrasonic waves is the basis for this study. This study aims to determine the optimal sample particle … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 6 Nov 2024 · 4,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractExamine the Relationship between Tax Payer Registration and Collection of Turnover Tax Category "B" Tax Payers in Ethiopia, South Gonder ZoneBaharu Sisay Negatu, Nidhi WaliaNo one escapes from tax and death. Tax is the only tool of the government’s fiscal policy; The investigation aims to examine the relationship between taxpayer registration and collection of turnover tax category "B" taxpayers and specifically examine the relationship between taxpayer registration and collection of tax, knowledge of taxpayer and collection and examine the attitude of taxpayer and the … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 12 Jul 2024 · 8,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating PSAU Mobile Application Based on People at the Center of Mobile Application Development (PACMAD) Usability Model: Empirical InvestigationMohammed Hameed AfifThis study investigates the extent to which the usability attributes, namely, effectiveness, efficiency; learnability and memorability, satisfaction, errors, and cognitive load of PSAU mobile application exist from students’ point of view who were enrolling at the academic year 2019-2020 in College of Business Administration (CBA) at Prince Sattam Bin Abdulaziz University. The study employs the People at the Center of … …Journal of Computer Science, Vol. 17, Issue 3 · 19 Mar 2021 · 19,759 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing a Hierarchical Weibull model to Predict Failure Strength of Different Glass Edge ProfilesDavid Thomas Kinsella, Johan LindströmThe edge strength of glass is analyzed using a Weibull statistical framework based on 78 data samples from a range of experiments recorded in literature. Based on the analysis, a 45 MPa strength value (computed as the lower bound in a one-sided confidence interval at the 75% level for the 5-percentile in the distribution) could be conservatively used with arrised, … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 30 Apr 2020 · 8,274 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Test on the Multivariate Behrens–Fisher Problem in High–Dimensional Data by Block Covariance EstimationParanut Sukcharoen, Samruam ChongcharoenIn this paper, we proposed a new testing statistic for testing the equality of mean vectors from two multivariate normal populations when the covariance matrices are unknown and unequal in high–dimensional data. A new test is proposed based on the idea of keeping more information from the sample covariance matrices as much as possible. A proposed test is invariant under … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 2 Apr 2019 · 7,369 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccessing the Appropriateness of a Spatial Regression Using Generalized (h1h2-)Slepian Random FieldWayan Somayasa, Jamhir Safani, La Ode Ngkoimani, Muhamad Zamrun F.In this study we derived asymptotic goodness-of-fit test (model check) for spatial regression where the critical region as well as the p-value of the tests are approximated based on the distribution of a type of the integral functional of the generalized (h1h2-)-Slepian field and the set-indexed Gaussian white noise. Such random fields are obtained as the limit process of the … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 2 May 2017 · 7,362 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Mean Estimation using Stratified Double Median Ranked Set SamplingMahmoud Ibrahim Syam, Amer Ibrahim Al-Omari, Kamarulzaman IbrahimStratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractPROBING NON-ADHERENCE TO PRESCRIBED MEDICINES? A BIVARIATE DISTRIBUTION WITH INFORMATION NUCLEUS CLARIFIESRamalingam ShanmugamNo illness gets cured without the patient’s adherence to the prescribed medicine (s). Reasons such as too many medicines, lack of health insurance coverage, high co-payment cost, loss of cognitive memory to take. are commonly noticed for non-adherence. In some illnesses, the patients who do not adhere to the prescribed medicines end up again in hospital. How should the pertinent … …Current Research in Medicine, Vol. 5, Issue 2 · 17 Jul 2014 · 7,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractMISSING DATA IMPUTATION USING WEIGHTED OF REGIME SWITCHING MEAN AND REGRESSIONJumlong Vongprasert, Bhusana PremanodeMissing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. The purpose of this work were first to develop the Weighted of Regime Switching Mean and Regression (WRSMRI) for missing data estimation and secondly to compare its efficiency of estimation and statistical power of a … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 3 May 2014 · 6,704 accessesView PDFCite