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## Time and Spatial Series

### Large Sample Techniques for Statistics (2010-01-01) 0: 283-315 , January 01, 2010

Time series occur naturally in a wide range of practices. For example, the opening price of a certain stock at the New York Stock Exchange, the monthly rainfall total of a certain region, and the CD4+ cell count over time of an individual infected with the HIV virus may all be viewed as time series.

## Statistical Decision Theory

### Estimation and Inferential Statistics (2015-01-01): 181-235 , January 01, 2015

In this chapter we discuss the problems of point estimation, hypothesis testing and interval estimation of a parameter from a different standpoint.

## Guides

### The Grammar of Graphics (1999-01-01): 329-338 , January 01, 1999

Guides show us the way. They give us absolute directions in a relative world. We need guides in graphics to help us associate categories or quantities with aesthetics. Position, for example, allows us to compare magnitudes among graphics in a frame, but we need a positional guide to help us to relate magnitudes to non-graphical information. Color can help us discriminate categories, but we cannot associate colors with specific categories without a color guide.

## Expectation

### All of Statistics (2004-01-01): 48-61 , January 01, 2004

The mean, or expectation, of a random variable *X* is the average value of *X*.

## An asymptotic test for a geometric process against a lattice distribution with monotone hazard

### Journal of the Italian Statistical Society (1997-12-01) 6: 213-231 , December 01, 1997

### Summary

In this paper a simple characterization of the geometric distribution, in the class of discrete distributions with monotone hazard ratio, is provided. This result is used to construct a test for the hypothesis that the anival process of a discrete queueing model is a geometric process. The properties of the test, as well as those of its «bootstrapped version », are studied both theoretically and by Monte Carlo simulation.

## Economic and Financial Modeling with Mathematica®

### Economic and Financial Modeling with Mathematica® (1993-01-01) , January 01, 1993

## Projection pursuit approach to robust canonical correlation analysis

### COMPSTAT (2000-01-01): 415-420 , January 01, 2000

Projection pursuit techniques are used to build new robust estimators for the parameters of the canonical correlation model. A simulation study shows that for non-ideal data these estimators can perform as well as other robust estimators. However, they can have much higher breakdown points. This advantage makes these estimators the right choice for use with real data, where potential outlying observations are very frequent.

## Social Choice

### Mathematics and Politics (2008-01-01): 1-48 , January 01, 2008

In the present chapter we consider the situation wherein a group of voters is collectively trying to choose among several alternatives. When people speak of the area of “social choice,” it is typically this context that they have in mind.

In the case where there are only two alternatives, the standard democratic process is to let each person vote for his or her preferred alternative, with the social choice (the “winner”) being the alternative receiving the most votes. The situation, however, becomes complicated if there are more than two alternatives. In particular, if we proceed exactly as we did above where we had two alternatives, then we are not taking advantage of some individual comparisons among the several alternatives that could be made.

## Optimal and robust invariant designs for cubic multiple regression

### Metrika (1995-12-01) 42: 29-48 , December 01, 1995

## Accelerated Life Testing

### The Art of Progressive Censoring (2014-01-01): 481-505 , January 01, 2014

Methods of accelerated life testing are applied to several kinds of progressively censored data. This includes step-stress testing as well as progressive stress models.