Applied Statistics Commons^™

Secured Debt And The Likelihood Of Reorganization, Clas Bergström, Theodore Eisenberg, Stefan Sundgren

Cornell Law Faculty Publications

Theory suggests that secured creditors may increasingly oppose a debtor’s reorganization as the value of their collateral approaches the amount of their claims. If reorganization occurs and the value of the firm appreciates, the secured creditor receives only part of the gain. But if the firm’s value depreciates, the secured creditor bears all of the cost. Secured claimants, thus, often have more to lose than to gain in reorganizations. This study of Finnish reorganizations filed in districts that account for most of the country’s reorganizations finds that creditor groups most likely to be well-secured are most likely to oppose reorganization. …

Miscellaneous Publication 8/2002 - Statistics Report For The Western Australian Floriculture Industry - August 2000, Department Of Agriculture, Western Australia

Horticulture published reports

Statistical data plays an important role in many decisions faced by both established and prospective businesses within all industry sectors. In order to offer a better service to its customers, the Department of Agriculture (the Department) requires information regarding the cutflower and nursery industry within Australia and Western Australia.

Though there are many avenues available in order to obtain this statistical information, both locally and nationally, there is no concise summary available. In addition, information obtained must be assessed in detail to determine its reliability and relevance.

Current statistics for both the Australian and Western Australian nursery and cutflower industries …

Fuzzy Product -Limit Estimators: Soft Computing In The Presence Of Very Small And Highly Censored Data Sets, Kian Lawrence Pokorny

Doctoral Dissertations

When very few data are available and a high proportion of the data is censored, accurate estimates of reliability are problematic. Standard statistical methods require a more complete data set, and with any fewer data, expert knowledge or heuristic methods are required. In the current research a computational system is developed that obtains a survival curve, point estimate, and confidence interval about the point estimate.

The system uses numerical methods to define fuzzy membership functions about each data point that quantify uncertainty due to censoring. The “fuzzy” data are then used to estimate a survival curve, and the mean survival …

Juries, Judges, And Punitive Damages: An Empirical Study, Theodore Eisenberg, Neil Lafountain, Brian Ostrom, David Rottman, Martin T. Wells

Cornell Law Faculty Publications

This Article, the first broad-based analysis of punitive damages in judge-tried cases, compares judge and jury performance in awarding punitive damages and in setting their levels. Data covering one year of judge and jury trial outcomes from forty-five of the nation's largest counties yield no substantial evidence that judges and juries differ in the rate at which they award punitive damages or in the central relation between the size of punitive awards and compensatory awards. The relation between punitive and compensatory awards in jury trials is strikingly similar to the relation in judge trials. For a given level of compensatory …

Ua56/1 Fact Book, Wku Institutional Research

WKU Administration Documents

Statistical and demographic profile of WKU.

On The Regularity Of Solutions To Fully Nonlinear Elliptic Equations Via The Liouville Property, Qingbo Huang

Mathematics and Statistics Faculty Publications

We show that any C^1,1 solution to the uniformly elliptic equation F(D²u) = 0 must belong to C^2,α, if the equation has the Liouville property.

Absolutely Continuous Jacobi Operators, Steen Pedersen

Mathematics and Statistics Faculty Publications

No abstract provided.

Domain Functionals And Exit Times For Brownian Motion, Chaocheng Huang, David Miller

Mathematics and Statistics Faculty Publications

Two domain functionals describing the averaged expectation of exit times and averaged variance of exit times of Brownian motion from a domain, respectively, are studied.

Nonparametric Estimation Of A Distribution Subject To A Stochastic Precedence Constraint, Miguel A. Arcones, Paul H. Kvam, Francisco J. Samaniego

Department of Math & Statistics Faculty Publications

For any two random variables X and Y with distributions F and G defined on [0,∞), X is said to stochastically precede Y if P(X≤Y) ≥ 1/2. For independent X and Y, stochastic precedence (denoted by X≤_spY) is equivalent to E[G(X–)] ≤ 1/2. The applicability of stochastic precedence in various statistical contexts, including reliability modeling, tests for distributional equality versus various alternatives, and the relative performance of comparable tolerance bounds, is discussed. The problem of estimating the underlying distribution(s) of experimental data under the assumption that they obey a …

Discrete Predictive Analysis In Probabilistic Safety Assessment, Paul Kvam, J. Glenn Miller

Department of Math & Statistics Faculty Publications

This paper presents methods for predicting future numbers of component failures for probabilistic safety assessments (PSAs). The research is motivated and illustrated by discrete failure data from the nuclear industry, including failure counts for emergency diesel generators, pumps, and motor operated valves. Failure counts are modeled with Poisson and binomial distributions. Multiple-failure environments create extra problems for predictive inference, and are a primary focus of this paper. Common cause failures (CCFs), in particular, refer to the simultaneous failure of system components due to an external event. CCF prediction is investigated, and approximate inference methods are derived for various CCF models.

Common Cause Failure Prediction Using Data Mapping, Paul H. Kvam, J. Glenn Miller

Department of Math & Statistics Faculty Publications

To estimate power plant reliability, a probabilistic safety assessment might combine failure data from various sites. Because dependent failures are a critical concern in the nuclear industry, combining failure data from component groups of different sizes is a challenging problem. One procedure, called data mapping, translates failure data across component group sizes. This includes common cause failures, which are simultaneous failure events of two or more components in a group. In this paper, we present methods for predicting future plant reliability using mapped common cause failure data. The prediction technique is motivated by discrete failure data from emergency diesel generators …

Mixed Signals: Rational-Choice Theories Of Social Norms And The Pragmatics Of Explanation, W. Bradley Wendel

Cornell Law Faculty Publications

The question of how societies secure cooperation and order in the absence of state enforced sanctions has long vexed law and economics scholars. Recently the concept of social norms--informally enforced rules of behavior--has occupied the attention of a large number of these theorists, who are concerned with understanding why economically rational actors would bother to follow rules whose costs seem to outweigh their benefits. Because of the prestige (or at least trendiness) of law and economics, it seems that now everyone in the legal academy is talking about social norms. This burgeoning scholarship is closely related to a wider concern …