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Click here for our Recent Technical ReportsClick here for Recent Technical Presentations.Other Technical Articles and Presentations.
Free Demo Versions of our Software ToolsHere are demo versions of our software that you can download. By each demo there are installation instructions. The demos illustrate our capabilities to combine our user friendly graphical user interfaces (GUIs) for networks with our powerful optimization tools. Operation of any of the tools is very straight forward. If you have questions or comments, please use our feedback page or e-mail us at info@cox-associates.com. Wireless Backhaul Network OptimizerThis tool allows the user to describe the topology and components of a wireless (cellular) backhaul network. See our page on network optimization for a description of the problem. The user can graphically add cell-sites, digital hubs and mobile switches to the network. He can additionally specify the traffic load from each cell-site. The tool will optimize the network to show the optimal routing of traffic from cell-sites, (potentially) through hubs to the switch. To download the demo, click here. To install the demo, follow these easy instructions:
To run the demo:
SONET Planning Tool DemoOur SONET Planning Tool demo further illustrates our graphical user interface for describing network problems. To download our SONET Planning Tool, click here. To install and run the SONET Planning Demo, do the following:
Simple user guide:
COX ASSOCIATES -- RECENT TECHNICAL REPORTSThe following technical reports are available from Cox Associates, provided that permission is first obtained from the clients to whom they belong. RECENT REPORTS IN TELECOMMUNICATIONS ENGINEERING AND DESIGN Network capacity forecasting and planning process: Results of a planning workshop. Final report to A T & T Wireless Systems, National Business Planning. Cox Associates, Denver, CO. December 30, 1998. 19 Pages plus appendices. Authorized visitors may download by clicking on the title (for the report and here (for the appendices). The Megabit Simulation Project. Final report to U S WEST Advanced Technologies, Mathematical and Statistical Modeling Group. Written by Dr. Douglas Popken, Cox Associates, Denver Colorado, December 14, 1998. 30 Pages plus appendices and hyperlinks. This report summarizes the results of a project to model and analyze the processes involved in providing Megabit Services to US WEST customers. Authorized visitors may download by clicking on the title. The Appointment Scheduling Simulation Model. Final Report to U S WEST Advanced Technologies, Mathematical and Statistical Modeling group. Cox Associates, Denver, CO. October 19th, 1998. 24 pages + Appendices and hyperlinks. Authorized visitors may download by clicking on the title. Switch Capacity and Resources: Technical Background for Forecasting. Final Report to U S WEST Advanced Technologies. Cox Associates, Denver, CO. July 30th, 1998. 15 pages + Appendices and hyperlinks Minimizing Monthly Lease Costs in AT&T Wireless's Denver-Area Backhaul Network: Results of a Pilot Project on Cost Reduction. Final Report to AT&T Wireless. Cox Associates, Denver, CO. May 26th, 1998. 11 pages + Appendices The Repair Call Handling Simulation. Final Report to U S WEST Advanced Technologies. Cox Associates, Denver, CO. January 24th, 1998. 29 pages + Appendices. RECENT REPORTS IN DATA MINING AND MARKETING SCIENCE APPLICATIONS Demographic Clusters Predicting Perceived Service Quality: Summary. Report to TCI. Cox Associates, Denver, CO. April 17th, 1998. 8 pages. TCI Customer Acquisition and Loss Model. Final Report to TCI. Cox Associates, Denver, CO. January 9th, 1998. 31 pages + Appendices Next Optimal Product Project: Optimal Statistical Matching of Product Offers to Customer Needs. Final Report to U S WEST Communications. Cox Associates, Denver, CO. December 29th, 1997. 20 pages + Appendices. Authorized visitors may download by clicking on the title. A Method To More Accurately Forecast Demand For Local Loop Products. Final report to U S WEST Communications. Cox Associates, Denver, CO, September 4, 1997. 25 Pages plus appendices. This paper presents a method for dramatically improving the accuracy of growth forecasts for access lines and demand for local loop products. Authorized visitors may download by clicking on the title. U S WEST Customer Attrition Modeling: Learning to Predict Customer Attrition Risk From Data. Final Report to U S WEST Communications. Cox Associates, Denver, CO. August 14, 1997. 36 pages + Appendices. Authorized visitors may download by clicking on the title. RECENT REPORTS IN HEALTH, SAFETY, AND ENVIRONMENTAL RISK ANALYSIS A Statistical Decision Approach for Sampling Ordnance and Explosives. Final Report to Department of the Army U.S. Army Corps of Engineers, Huntsville, Alabama. Montgomery Watson, Inc., Salt Lake City, UT and Cox Associates, Denver, CO. September 1, 1998. 39 pages. Contract number DACA87-97-D-0002, Delivery Order 0008. Comments on EPA's 2-98 Draft Risk Assessment for Diesel Exhaust. Final Report to the Engine Manufacturers Association. Cox Associates, Denver, CO. June 11th, 1998. 58 pages. This paper can be downloaded from the EMA Web site at http://www.engine-manufacturers.org/health/Expert Report 8.tm Comments On OEHHA's February, 1998 Draft Risk Assessment For Diesel Exhaust. Final Report to the Engine Manufacturers Association. Cox Associates, Denver, CO. April 13th, 1998. 47 pages. Comments On OEHHA's 1997 Draft Risk Assessment For Diesel Exhaust. Final Report to the Engine Manufacturers Association. Cox Associates, Denver, CO. August 20, 1997. 34 pages. Technical and Policy Issues in Regulating Particulate Matter (PM) Air Pollution: An Information Primer. Report to the American Petroleum Institute. Cox Associates, Denver, CO. March 31, 1997. 50 pages. Comments on EPAs Proposed Decisions on Standards for Particulate Matter and Ozone. Final Report to the Engine Manufacturers Association. Cox Associates, Denver, CO. March 8, 1997. 38 pages
Recent Technical PresentationsRisk AnalysisBayesian methods for assessing uncertain exposures. (Click here to download presentation) Marketers and biostatisticians must often try to estimate a statistical relation between "exposure" and the probability of a "response" when the true exposure values are unknown and only rough estimates are available. Applying standard text-book methods that ignore errors in the estimated values of the independent variables may yield misleading or meaningless results. Moreover, the conventional wisdom that ignoring such errors attenuates estimated relations between exposure and response does not hold when more than one independent variable is involved. This presentation summarizes recent progress in numerical Bayesian methods for estimating correct exposure- response relations even when the correct values of exposure are highly uncertain.
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