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[Introduction To] Basic Java Programming: A Laboratory Approach, Lewis Barnett
[Introduction To] Basic Java Programming: A Laboratory Approach, Lewis Barnett
Bookshelf
For first- and second-year undergraduates, an introduction to programming with Java, an object-oriented programming language that is a popular choice for Web applications. Kent and Barnett (U. of Richmond) introduce algorithms and problem-solving approaches that are important to programming general.
Locally 1-To-1 Maps And 2-To-1 Retractions, Jo Heath, Van C. Nall
Locally 1-To-1 Maps And 2-To-1 Retractions, Jo Heath, Van C. Nall
Department of Math & Statistics Faculty Publications
This paper considers the question of which continua are 2-to-1 retracts of continua.
Ranked Set Sampling From Location-Scale Families Of Symmetric Distributions, Ram C. Tiwari, Paul H. Kvam
Ranked Set Sampling From Location-Scale Families Of Symmetric Distributions, Ram C. Tiwari, Paul H. Kvam
Department of Math & Statistics Faculty Publications
Statistical inference based on ranked set sampling has primarily been motivated by nonparametric problems. However, the sampling procedure can provide an improved estimator of the population mean when the population is partially known. In this article, we consider estimation of the population mean and variance for the location-scale families of distributions. We derive and compare different unbiased estimators of these parameters based on independent replications of a ranked set sample of size n. Large sample properties, along with asymptotic relative efficiencies, help identify which estimators are best suited for different location-scale distributions.