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The expected sample variance of uncorrelated random variables with a common mean and application in unbalanced random effects models

Vardeman, Stephen B.; Wendelberger, Joanne - 2003

Persistent link: https://www.econbiz.de/10001901129

The expected sample variance of uncorrelated random variables with a common mean and applications in unbalanced random effects models

Vardeman, Stephen B.; Wendelberger, Joanne R. - 2004 - Rev. version

Persistent link: https://www.econbiz.de/10001981754

Split Sample Instrumental Variables

Angrist, Joshua D.; Krueger, Alan B. - 2021

Instrumental Variables (IV) estimates tend to be biased in the same direction as Ordinary Least Squares (OLS) in finite samples if the instruments are weak. To address this problem we propose a new IV estimator which we call Split Sample Instrumental Variables (SSIV). SSIV works as follows: we...

Persistent link: https://www.econbiz.de/10013225846

Advances in Approximate Bayesian Computation and Trans-Dimensional Sampling Methodology

Peters, Gareth - 2021

Persistent link: https://www.econbiz.de/10013237900

Improving the Accessibility of the Nber'S Historical Data

Feenberg, Daniel; Miron, Jeffrey A. - 2021

During the early years of its existence, the National Bureau of Economic Research (NBER) assembled an extensive data set on all aspects of the pre-WWII macroeconomy. Until 1978, this data set existed only on the handwritten sheets to which the early NBER researchers copied the data from original...

Persistent link: https://www.econbiz.de/10013243940

The Statistical Properties of Random Bitstreams and the Sampling Distribution of Cosine Similarity

Giller, Graham L. - 2012

sampling distribution of the cosine similarity of independent random bitstreams and compare those computed moments to those …

Persistent link: https://www.econbiz.de/10013098858

Statistical Auditing and Classical Variables Sampling

Ueno, Susumu - 2014

After a brief introduction, Section Ⅱdiscusses basic concepts which are critical to audit sampling. SectionⅢ reviews … the most commonly used sampling techniques, i.e. attribute sampling, probability proportional to size (PPS) sampling and … classical variable sampling. Section Ⅳexamines key concepts in classical variables sampling, and SectionⅤpresents a numerical …

Persistent link: https://www.econbiz.de/10013056209

Enhancing Data Reliability in Quantitative Characterization of Moisture Distribution in Sludge Using Dsc : Impact of Sample Attributes and Test Parameters

Wang, Hou-Feng; Zhang, Ya-Li; Zhang, Hao; Liu, Wen-Hui; … - 2023

Exploring moisture distribution, especially bound water content, is vital for studying and applying sludge dewatering. The differential scanning calorimetry (DSC) method has been extensively utilized for the quantitative characterization of moisture distribution in sludge. However, this method...

Persistent link: https://www.econbiz.de/10014359708

Validation of Cristallini sampling method for UF6 by high precision double-spike measurements

Richter, Stephan (contributor); Hiess, Joe (contributor); … - European Commission / Joint Research Centre - 2016

The so-called "Cristallini Method" for sampling of UF6 by adsorption and hydrolysis in alumina pellets inside a …) several years ago [1]. This method has several advantages compared to the currently used sampling method, for which UF6 is … to the analytical laboratory. Using the Cristallini sampling method the transport is cheaper and relatively safer …

Persistent link: https://www.econbiz.de/10015296170

A Statistical Analysis for Mathematics & Statistics in Engineering Technologies (Random Sampling)

Mastoi, Sanaullah; Kalhoro, Nabi Bux; Mugheri, Ali Bux … - 2021

This paper aims to assess the degree of students’ interest in mathematics and statistics. Five universities, having Engineering and technology education in Sindh Province, have been taken as targeted population. Non-parametric test Statistic X2 at X = 0.05 on collected categorical data has...

Persistent link: https://www.econbiz.de/10013233566