A new distribution for robust least squares

A new distribution is introduced, which we call the twin-t distribution. This distribution is heavy-tailed like the t distribution, but closer to normality in the central part of the curve. Its properties are described, e.g. the pdf, the distribution function, moments, and random number generation. This distribution could have many applications, but here we focus on its use as an aid to robustness. We give examples of its application in robust regression and in curve fitting. Extensions such as skew and multivariate twin-t distributions, and a twin ofComment: 29 pages. 5 figures provided at the end of the pape

The Geography of Wine: Reign of Terroir

Platinum Sponsors Gold Sponsors KU Department of Geography KU Institute for Policy & Social Research KU Libraries GIS and Data Services State of Kansas Data Access and Support Center (DASC) Silver Sponsors Bartlett & West KansasView Kansas Biological Survey U.S. Geological Survey (USGS) Bronze Sponsors AECOM Black & Veatch City of Lawrence - Utilities Department ESRI Global Information Systems KU Center for Global & International Studies KU Center for Remote Sensing of Ice Sheets (CReSIS) KU Environmental Studies Program Lucity, Inc. Wilson & Company, Engineers and Architect

Sanctions for E-Discovery Violations: By the Numbers

This Article reviews our comprehensive survey of written opinions from cases in federal courts prior to January 1, 2010, involving motions for sanctions relating to the discovery of electronically stored information (ESI) We analyzed each case for various factors, including date, court, type of case, sanctioning authority, sanctioned party, sanctioned misconduct, sanction type, sanctions to counsel, if any, and the protections provided from sanctions by Federal Rule of Civil Procedure 37(e) The survey identified 401 sanction cases and 230 sanction awards and showed that sanction motions and awards have increased over time, particularly in the last five years Sanctions against counsel are rare but are also increasing Sanction motions have been filed in all types of cases and in courts across the country Failure to produce ESI is the most common basis for sanctions Courts have used a variety of different rules, statutes, and powers to sanction parties for e-disco very violations, including Rule 37 and the inherent power of the court, and courts impose many different sanction types on e-discovery violators, including the severe sanctions of dismissal, default Judgment, adverse jury instructions, and sizeable monetary awards Rule 37(e) has not provided broad protection from such sanction

Sanctions for E-Discovery Violations: By the Numbers

This Article reviews our comprehensive survey of written opinions from cases in federal courts prior to January 1, 2010, involving motions for sanctions relating to the discovery of electronically stored information (ESI) We analyzed each case for various factors, including date, court, type of case, sanctioning authority, sanctioned party, sanctioned misconduct, sanction type, sanctions to counsel, if any, and the protections provided from sanctions by Federal Rule of Civil Procedure 37(e) The survey identified 401 sanction cases and 230 sanction awards and showed that sanction motions and awards have increased over time, particularly in the last five years Sanctions against counsel are rare but are also increasing Sanction motions have been filed in all types of cases and in courts across the country Failure to produce ESI is the most common basis for sanctions Courts have used a variety of different rules, statutes, and powers to sanction parties for e-disco very violations, including Rule 37 and the inherent power of the court, and courts impose many different sanction types on e-discovery violators, including the severe sanctions of dismissal, default Judgment, adverse jury instructions, and sizeable monetary awards Rule 37(e) has not provided broad protection from such sanction

Solving the TTC 2011 Compiler Optimization Case with QVTR-XSLT

In this short paper we present our solution for the Compiler Optimization case study of the Transformation Tool Contest (TTC) 2011 using the QVTR-XSLT tool. The tool supports editing and execution of the graphical notation of QVT Relations languageComment: In Proceedings TTC 2011, arXiv:1111.440

Krugman's Model with Various Values of the Costs of Transport -under Maple Software

The centrum-peripherical model due to Paul Krugman (1991) with all its merits forgrounding the economics crowdings, also scored the appearance of a new field in the economictheory, known as “The New Economic Geography”. There were some criticism which were focusedon this matter, such as the simetry of the transport costs for the industrial goods, and the ignoring thetransport costs for the agricultural goods. These criticisms could be evaded by improving the model,so as this work tries to do. On the other hand, the achieving of a computational programme is veryuseful in numerical simulations, necessary for studying the model, taking into account that the modelcan not be analytically solved

The Analysis of the Freight Rates for the Oil Ships with Big Sizes

The purpose of this work is to approach the evolution of the freight rates for the oil ships of big sizes, that is of those with 200,000 dwt. In this field we intend to analyse the seasonality of the freight rates for the transport of the oil from Persian Gulf to other four destinations, that is: Japan, Korea Republic, Europe and Caribbean/the East Coast of the North America. This patchy evolution during an year is for sure determined by the capacity of processing and stockage from those zones, but this will be also reflected in the levels of the freight. As the analysed period also includes the present crisis which the world economy is passing through, we wish stand the sense of reflecting this on the transport services market. Otherwise, we will analyse the trends of the transport and the seasonality of the transport of this segment of ships. The research of these aspects will be done with the help of decomposition of the time series, with Minitab software. &nbsp

Assessing the reproducibility of discriminant function analyses.

Data are the foundation of empirical research, yet all too often the datasets underlying published papers are unavailable, incorrect, or poorly curated. This is a serious issue, because future researchers are then unable to validate published results or reuse data to explore new ideas and hypotheses. Even if data files are securely stored and accessible, they must also be accompanied by accurate labels and identifiers. To assess how often problems with metadata or data curation affect the reproducibility of published results, we attempted to reproduce Discriminant Function Analyses (DFAs) from the field of organismal biology. DFA is a commonly used statistical analysis that has changed little since its inception almost eight decades ago, and therefore provides an opportunity to test reproducibility among datasets of varying ages. Out of 100 papers we initially surveyed, fourteen were excluded because they did not present the common types of quantitative result from their DFA or gave insufficient details of their DFA. Of the remaining 86 datasets, there were 15 cases for which we were unable to confidently relate the dataset we received to the one used in the published analysis. The reasons ranged from incomprehensible or absent variable labels, the DFA being performed on an unspecified subset of the data, or the dataset we received being incomplete. We focused on reproducing three common summary statistics from DFAs: the percent variance explained, the percentage correctly assigned and the largest discriminant function coefficient. The reproducibility of the first two was fairly high (20 of 26, and 44 of 60 datasets, respectively), whereas our success rate with the discriminant function coefficients was lower (15 of 26 datasets). When considering all three summary statistics, we were able to completely reproduce 46 (65%) of 71 datasets. While our results show that a majority of studies are reproducible, they highlight the fact that many studies still are not the carefully curated research that the scientific community and public expects