Estimation of a parameter based on the data generated by a statistical test of hypothesis on that same parameter is considered conditionally on the action determined by the test. The problem of ...

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Khadija Khartit is a strategy, investment, and ...

Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a degree in accounting and finance from DePaul University. Vikki Velasquez is a researcher and writer who has ...

Business owners like to know how their decisions will impact their businesses. According to Harvard Business School Online, before making decisions, managers may explore the benefits of hypothesis ...

Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Description: Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, ...

Generally, the use of ordinary missing data estimation, the UNTIE transformation, and the UNTIE= a-option should be avoided, particularly with hypothesis tests. With these options, parameters are ...

The purpose of this paper is to examine whether the efficiency structure hypothesis holds true for major Japanese commercial banks. The efficiency structure hypothesis, developed by Demesetz (1973), ...