181 research outputs found
Still no evidence of negative outcomes from same-sex marriage (article)
No full textWe are pleased that Professors Allen and Price (2015) have continued to investigate the empirical connection between state laws that permit (or do not ban) same-sex unions/marriages and the possibility of adverse consequences for families. Using updated information about state laws, and using their preferred coding of that information, Professors Allen and Price have largely replicated our findings (Langbein and Yost 2009). In both investigations, same-sex marriage laws appear to have no adverse effects on families in the state where the laws operate. Both studies suffer from low power. More data and better research designs were not available when we wrote our study; we look forward to these improvements in the future.
This article is a response to Same-Sex Marriage and Negative Externalities: A Critique, Replication, and Correction of Langbein and Yost by Douglas W. Allen and Joseph Price (EJW, May 2015)
David Yost + ICSC : : Observing Everything Interactions : A Personal Journey
No full textThis project is about taking a personal journey to photograph thoughtless acts (human behaviors) or observations of how and why people use products and services in their natural settings. This project contains photographs and personal narrative interpretations of each photo provided by the author. The observations and personalized interpretations of them are intended to get people to inform, inspire, become more curious, aware, and observant of how we as a society design products and services and solve problems efficiently and effectively. These observations and interpretations are also intended to illustrate patterns that point to more a universal need. The final product developed is a draft photo book
Carbon estimates of forest biomass for the Clatsop State Forest
No full textprepared by Andrew Yost, Ph. D., Forest Resources Planning Program.Title from PDF cover (viewed on April 24, 2020).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 10-11).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Lectures on probability and statistics. Revision
No full textThese notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. They begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probabilty of any specified outcome. They finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion
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Averaging in the presence of sliding errors
No full textIn many cases the precision with which an experiment can measure a physical quantity depends on the value of that quantity. Not having access to the true value, experimental groups are forced to assign their errors based on their own measured value. Procedures which attempt to derive an improved estimate of the true value by a suitable average of such measurements usually weight each experiment`s measurement according to the reported variance. However, one is in a position to derive improved error estimates for each experiment from the average itself, provided an approximate idea of the functional dependence of the error on the central value is known. Failing to do so can lead to substantial biases. Techniques which avoid these biases without loss of precision are proposed and their performance is analyzed with examples. These techniques are quite general and can bring about an improvement even when the behavior of the errors is not well understood. Perhaps the most important application of the technique is in fitting curves to histograms
Oregon harvested wood products carbon inventory 1906-2018
No full textTodd A. Morgan, Thomas S. Donahue, Thale Dillon (University of Montana, Bureau of Business and Economic Research, Forest Industry Research Program), Andrew Yost (Oregon Department of Forestry), Jeremy Groom (Groom Analytics, LLC) ; prepared for: USDA Forest Service, Forest Inventory and Analysis Program and Oregon Department of Forestry.Title from PDF cover (viewed on June 28, 2021)."Report completed through Agreement No. 18-CO-11261979-074 between the U.S. Forest Service, Pacific Northwest Research Station and the Oregon Department of Forestry; and Agreement No. 18-CR-11261979-095 between the U.S. Forest Service, Pacific Northwest Research Station and the University of Montana, Bureau of Business and Economic Research."This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 29-33).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
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