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**11 - 20**of**20**### Survivability of the Mars Lander

"... Lockheed-Martin Company (LMCO) must design lander vehicles to survive their landings on the rock-strewn surface of the planet Mars. Given the basic structure of the lander and the characteristics of rocks that are likely to cover the planet's surface, what is the probability that the lander will sur ..."

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Lockheed-Martin Company (LMCO) must design lander vehicles to survive their landings on the rock-strewn surface of the planet Mars. Given the basic structure of the lander and the characteristics of rocks that are likely to cover the planet's surface, what is the probability that the lander will survive its mission? Students enrolled in mathematics course MATH 4779/5779 during the Spring 2000 semester developed an algorithm to simulate this probability. We characterize the distribution of rock features from previous Viking Lander missions and describe the components of a algorithm to simulate a rocky surface as well as the algorithm to determine whether the Lander survives the landing on Mars. We present some simulation results which indicate that rock density (average number of rocks per square meter) has a signicant eect on the probability of a successful landing. Finally, we discuss other enhancements for future work, including a possible Monte Carlo Swindles to increase simulatio...

### Deepest Regression in Analytical Chemistry

"... Recently the concept of regression depth has been introduced [1]. The deepest regression (DR) is a method for linear regression which is dened as the fit with the best depth relative to the data. In this paper we explain the properties of the DR and give some applications of deepest regression in ..."

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Recently the concept of regression depth has been introduced [1]. The deepest regression (DR) is a method for linear regression which is dened as the fit with the best depth relative to the data. In this paper we explain the properties of the DR and give some applications of deepest regression in analytical chemistry which involve regression through the origin, polynomial regression, the Michaelis-Menten model, and censored responses. 1

### Using Approximations to Scale Exploratory Data Analysis in Datacubes

- In Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, 1999

"... Exploratory Data Analysis is a widely used technique to determine which factors have the most influence on data values in a multi-way table, or which cells in the table can be considered anomalous with respect to the other cells. In particular, median polish is a simple, yet robust method to perform ..."

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Exploratory Data Analysis is a widely used technique to determine which factors have the most influence on data values in a multi-way table, or which cells in the table can be considered anomalous with respect to the other cells. In particular, median polish is a simple, yet robust method to perform Exploratory Data Analysis. Median polish is resistant to holes in the table (cells that have no values), but it may require a lot of iterations through the data. This factor makes it difficult to apply median polish to large multidimensional tables, since the I/O requirements may be prohibitive. This paper describes a technique that uses median polish over an approximation of a datacube, easing the burden of I/O. The results obtained are tested for quality, using a variety of measures. The technique scales to large datacubes and proves to give a good approximation of the results that would have been obtained by median polish in the original data.

### Dietary Overlap Between Sympatric Mexican Spotted and Great Horned Owls

, 2005

"... We estimated diet composition of sympatric Mexican spotted (Strix occidentalis lucida, n = 7 pairs of owls) and great horned owls (Bubo virginianus, n = 4 pairs) in ponderosa pine (Pinus ponderosa)-Gambel oak (Quercus gambelii) forest, northern Arizona. Both species preyed on mammals, birds, and ins ..."

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We estimated diet composition of sympatric Mexican spotted (Strix occidentalis lucida, n = 7 pairs of owls) and great horned owls (Bubo virginianus, n = 4 pairs) in ponderosa pine (Pinus ponderosa)-Gambel oak (Quercus gambelii) forest, northern Arizona. Both species preyed on mammals, birds, and insects; great horned owls also ate lizards. Mammals dominated the diet of both species. Mammals comprised 63 and 62 % of all prey items identified in diets of spotted and great horned owls, respectively, and 94 and 95 % of prey biomass. Both species primarily preyed on a few groups of small mammals. Observed overlap in diet composition between species (0.95) was greater than expected based on null models of diet overlap, and the size range of prey taken overlapped entirely. Mean prey mass was similar for both species (great horned owl, 47.0 ± 7.4 g [SE], n = 94 items; spotted owl, 40.1 ± 1.8 g, n = 1,125 items). Great horned owls consumed larger proportions of diurnally active prey than spotted owls, which primarily consumed nocturnally active mammals. Our results, coupled with a previous analysis showing that these owls foraged in the same general areas (Ganey and others 1997), suggests that they could compete for food resources, which are assumed to be limiting in at least some years. They may minimize the potential for resource competition, however, by concentrating foraging activities in different habitats (Ganey and others 1997) and by foraging at different times, when different suites of prey species are active.

### unknown title

"... Self-employment grants vs. subsidized employment: Is there a difference in the re-unemployment risk? by Kenneth Carling * and Lena Gustafson* ..."

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Self-employment grants vs. subsidized employment: Is there a difference in the re-unemployment risk? by Kenneth Carling * and Lena Gustafson*

### Bayes Factors for Goodness of Fit Testing

, 2003

"... We propose the use of the generalized fractional Bayes factor for testing fit in multinomial models. This is a non-asymptotic method that can be used to quantify the evidence for or against a sub-model. We give expressions for the generalized fractional Bayes factor and we study its properties. In p ..."

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We propose the use of the generalized fractional Bayes factor for testing fit in multinomial models. This is a non-asymptotic method that can be used to quantify the evidence for or against a sub-model. We give expressions for the generalized fractional Bayes factor and we study its properties. In particular, we show that the generalized fractional Bayes factor has better properties than the fractional Bayes factor. Keywords: generalized fractional Bayes factor, Dirichlet process, Beta-Stacy process. 1. Introduction. In this paper we propose a Bayesian method for testing fit in multinomial models. Specifically, we will use the Bayes factor for evaluating the evidence for or against a null sub-model of the multinomial. The advantages of using a Bayesian approach for this problem are that it does not rely

### A Helicopter Tour of Competing Theories of Wage Rigidity, As Applied to the Great Depression

"... into modern-day wage setting, to which the theory I sketch in section III owes a considerable debt. This paper has also benefited from the comments of Lewis Davis, Timothy Guinnane, Christopher Sims, and David Weiman. A Helicopter Tour of Competing Theories of Wage Rigidity As Applied to the Great D ..."

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into modern-day wage setting, to which the theory I sketch in section III owes a considerable debt. This paper has also benefited from the comments of Lewis Davis, Timothy Guinnane, Christopher Sims, and David Weiman. A Helicopter Tour of Competing Theories of Wage Rigidity As Applied to the Great Depression "Nominal wages and prices came down by half between 1929 and 1933. Why would anyone look at a period like that and say that the difficult problem would be to explain rigid wages? I don’t understand it."-- Robert Lucas 1 "Why is it that, when mass unemployment exists, unemployed workers and profit-seeking firms do not immediately arrange employment at lower wages than the prevailing ones, thus forcing the market to quickly find equilibrium? Answering the question does not seem difficult, except perhaps for economists who have acquired through their education an intellectual apparatus that they tend to apply everywhere and, therefore, sometimes in the wrong place: such behavior by firms and unemployed workers would go against social norms and would, therefore, often turn out not to be mutually advantageous."-- Edmond Malinvaud (1984, p. 20) I.

### Enhancing Dependent Sample Analyses with Graphics

"... among individuals, but it may not be republished in any medium without express written consent from the authors and advance notification of the editor. ..."

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among individuals, but it may not be republished in any medium without express written consent from the authors and advance notification of the editor.

### CHAPTER

"... Pollution ecology is one of the few disciplines in biology that grew out of a societal need to fix a problem. The research community was forming questions as well as simultaneously developing methods, both toxicological and analytical, to address the questions in a cultural framework that demanded i ..."

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Pollution ecology is one of the few disciplines in biology that grew out of a societal need to fix a problem. The research community was forming questions as well as simultaneously developing methods, both toxicological and analytical, to address the questions in a cultural framework that demanded immediate answers. Aquatic toxicologists wrestled with pollution issues as they developed. By establishing basic methods and sorting out different responses between ecosystem compartments, an assessment philosophy emerged that enabled us to better investigate

### Running head: ETHICS AND STATISTICS The Ethical Use of Statistical Analyses in Psychological Research

"... TX. The Ethical Use of Statistical 2 A large body of literature in psychological research and methodology points out common misuses of statistical procedures in published works. Statistical procedures, when incorrectly applied, result in false and misleading results which, in turn, lessen the ethica ..."

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TX. The Ethical Use of Statistical 2 A large body of literature in psychological research and methodology points out common misuses of statistical procedures in published works. Statistical procedures, when incorrectly applied, result in false and misleading results which, in turn, lessen the ethical justification for a research project. The present paper attempts to provide researchers in the field of psychology ethical guidelines for the proper use of statistical procedures. First, the problems with the misuse of statistical analyses in current literature are outlined. Next, the ethical principles which apply are discussed. Finally, previously proposed solutions and guidelines for researchers are presented. The Ethical Use of Statistical 3