1,059 research outputs found

    Multiple Linear Regression Applications in Real Estate Pricing

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    In this paper, we attempt to predict the price of a real estate individual homes sold in North West Indiana based on the individual homes sold in 2014. The data/information is collected from realtor.com. The purpose of this paper is to predict the price of individual homes sold based on multiple regression model and also utilize SAS forecasting model and software. We also determine the factors influencing housing prices and to what extent they affect the price. Independent variables such square footage, number of bathrooms, and whether there is a finished basement,. and whether there is brick front or not and the type of home: Colonial, Contemporary or Tudor. How much does each type of home (Colonial, Contemporary, Tudor) add to the price of the real estate

    MatLab vs. Python vs. R

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    in defense of Grass Grows: a play about mental illness

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    My mission as a mentally ill theatre artist is to challenge the commonly-perpetuated fictions that restrict public perception of mentally ill persons [MIPs]. A meta-analysis of plays from the Greek, Medieval, Victorian, Melodramatic, Naturalist, and Post- Naturalist eras reflected just how little progress has been made at exposing and eliminating popular myths about mental illness. While the theatrical canon offers evidence for the inadequacy of current representations of MIPs, the psychological literature offers steps forward for the artists telling these stories. Efforts to improve artist sensitivity to the complex realities of mental illness fail to educate with fact alone (Dale, Richards, Bradburn, Tadros, & Salama, 2014); positive change in public representations of mental illness only occurs in response to local, personally meaningful testimonies from MIPs themselves (Corrgian, 2012; Ciszek & Gallicano, 2013). It is no longer enough to credit pathology as real; we must give credit to the expertise of she within whom it manifests. Grass Grows is my response to the call for a new Theatre of Sanity that promotes pragmatic but hopeful stories about encountering the world through the lens of mental illness

    A component-based middleware framework for configurable and reconfigurable Grid computing

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    Significant progress has been made in the design and development of Grid middleware which, in its present form, is founded on Web services technologies. However, we argue that present-day Grid middleware is severely limited in supporting projected next-generation applications which will involve pervasive and heterogeneous networked infrastructures, and advanced services such as collaborative distributed visualization. In this paper we discuss a new Grid middleware framework that features (i) support for advanced network services based on the novel concept of pluggable overlay networks, (ii) an architectural framework for constructing bespoke Grid middleware platforms in terms of 'middleware domains' such as extensible interaction types and resource discovery. We believe that such features will become increasingly essential with the emergence of next-generation e-Science applications. Copyright (c) 2005 John Wiley & Sons, Ltd

    F**k ups in social research: learning from what goes ‘wrong’

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    What happens when research goes wrong, or at least, is perceived to go wrong? How do researchers manage, or indeed fail to manage, the unexpected, and what new intellectual developments might be made possible through engagement with ‘failures’? Jason Hughes, Anna Tarrant, Kahryn Hughes and Grace Sykes discuss these questions, as part of a forthcoming edited collection, called F**k Ups in Social Research: What to do when Research Goes Wrong. Here they explore the value of failure in research and the importance of crafting a critical and reflexive space for learning when social research doesn’t go to plan

    Multiple Linear Regression Applications in Real Estate Pricing

    Get PDF
    In this paper, we attempt to predict the price of a real estate individual homes sold in North West Indiana based on the individual homes sold in 2014. The data/information is collected from realtor.com. The purpose of this paper is to predict the price of individual homes sold based on multiple regression model and also utilize SAS forecasting model and software. We also determine the factors influencing housing prices and to what extent they affect the price. Independent variables such square footage, number of bathrooms, and whether there is a finished basement,. and whether there is brick front or not and the type of home: Colonial, Contemporary or Tudor. How much does each type of home (Colonial, Contemporary, Tudor) add to the price of the real estate

    MatLab vs. Python vs. R

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    Grace Hughes: 1918 & 2020 Pandemic Poster

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    Mixed-media digital collage 18 inches wide, 24 inches highhttps://ecommons.udayton.edu/stu_vad_covidcollage/1013/thumbnail.jp
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