Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...

ABSTRACT: Objective: To develop a screening scale for language and related developmental disorders in 4- to 5-year-old preschool children in China, and to evaluate its reliability and validity, ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

PSTATISTICSTUTORIALS PRIVATE LIMITED is a Private Limited Company, governed by the Companies Act as a company limited by shares. Classified as a Non-government company, it is registered under the ...

In this course, author Barton Poulson takes a practical, visual and non-mathematical approach to the basics of Statistical concepts and data analysis in SPSS, the Statistical package for business, ...

The Bureau of Labor Statistics, which tracks prices and employment, faces scrutiny after several missteps. Some questions have gone unanswered. By Ben Casselman and Jeanna Smialek It has been a rough ...

Forbes contributors publish independent expert analyses and insights. Robert Rapier is a chemical engineer covering the energy sector. NOLAN, TEXAS - OCTOBER 04: An oil pumpjack is seen near a field ...

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