compendia types: Published Papers(130) Journal or Magazine Articles(44) Working Papers(1) Problem Sets(1) Books(1)

research fields: Computer and Information Sciences(175) Statistics(2) Econometrics(2)

1 through 8 of 8 results

William John Youden

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Duke University

Department of Stastical Science first year exam questions.

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M.O. Finkelstein and B. Levin

These data are crime-related and demographic statistics for 47 US states in 1960. The data were collected from the FBI's Uniform Crime Report and other government agencies to determine how the variable crime rate depends on the other variables measured in the study.

In May, 1978, Brink's Inc. was awarded a contract to collect coins from some 70,000 parking meters in New York City for delivery to the City Department of Finance. Sometime later the City became suspicious that not all of the money collected was being returned to the city. In April of 1978 five Brink's collectors were ...

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Journal of Statistical Software

Stephan J Ritter and Nicholas P Jewell and Alan E Hubbard

We describe the R package multiPIM, including statistical background, functionality and user options. The package is for variable importance analysis, and is meant primarily for analyzing data from exploratory epidemiological studies, though it could certainly be applied in other areas as well. The approach taken to variable importance comes from the causal inference field, and is different from approaches taken in other R packages. By default, multiPIM uses a double robust targeted maximum likelihood estimator (TMLE) of a parameter akin to the attributable risk. Several regression methods/machine learning algorithms are available for estimating the nuisance parameters of the models, including ...

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Journal of Transportation and Statistics

Gary G. Gavis and Gujay Gavuluri and Gianping Gei

In the United States, the imposition and subsequent repeal of the 55 mph speed limit has led to an energetic debate on the relationship between speed and the risk of being in a (fatal) crash. In addition, research done in the 1960s and 1970s suggested that crash risk is a U-shaped function of speed, with risk increasing as one travels both faster and slower than what is average on a road. This paper describes two case-control analyses of run-off-road crashes, one using data collected in Adelaide, Australia, and the other using data from Minnesota. In both analyses the speeds of ...

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Duke University

Professor David Banks

In this course we learn about the use of probability and statistics in the natural and social sciences, and for public policy. The course requires a basic knowledge of simple calculus, including double integration. It is more advanced that STA 101; in particular, for those majoring in Economics, STA 111 is preferred.

The course will cover the following topics:

  • Linear and nonlinear regression
  • Probability models
  • Risk analysis
  • Hypothesis testing
  • Estimation

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Rice University Press

Good, Irving John, David Banks, and Eric P. Smith

This book collects the "Comments, Conjectures, & Conclusions" that I. J. Good wrote for the Journal of Stastical Computing and Simulation. These notes are a whimsical mixture of mathematics, statistics, social commentary and intelligent speculation. In the canon of notes by eminent mathematicians, they seem most comparable to Littlewood's Miscellany. We recommend that readers dip into them at leisure, rather than proceeding linearly or quickly. One wants to appreciate both their quirky donnish style and the buoyantly creative intellect that created them.

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Journal of Statistical Software

Maria Karlsson and Anita Lindmark

Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these types of data and is therefore unsuitable for use. Alternative estimators, designed for the estimation of truncated regression models, have been developed. This paper presents the R package truncSP. The package contains functions for the estimation of semi-parametric truncated linear regression models using three different estimators: the symmetrically trimmed least squares, quadratic mode, and left truncated estimators, all of which have been shown to have good asymptotic and finite sample properties. The package ...

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