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    the organization’s products. Because Ricky has another major project he’s working on‚ he went to Anne and asked her if it would be possible to assign the rewriting of the procedures manual to Bill Harmon‚ one of his employees who’s worked in the contracts group for about three years. Anne said she had no problems with Ricky reassigning the project as long as Bill knew the parameters and the expectations for the completion of the project. Ricky is preparing for his meeting in the morning with Bill

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    Metropolitan Housing Project Company Short Background of the Case Metropolitan Housing Project Company (MHPC) was formed in 1982 to develop real estate properties for sale to the public. Their first project is the development of real estate property in Lagunaville‚ Laguna‚ which is found near the University of the Philippines campus in College‚ Laguna. Mr. Roy Roxas‚ the Project Manager since 1987‚ prepared a 3-year plan for the period of 1989-1991. Problem Statement On March 1987‚ when Mr

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    Project Logo Here Project xxxx Charter List Group Members Table of Contents Introduction 3 High Level Purpose or Justification 3 Project Scope 3 Project Requirements 3 Key Stakeholders 3 Project Budget/Cost 3 Project Timeline 4 Potential Risks 4 Key Deliverables and High Level Milestones 4 Constraints and Dependencies 4 High Level Critical Success Factors 4 Acceptance Criteria 4 Approvals 4 Project Name: Project Sponsor: Project Manager: Date

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    THE IMPACT OF MACROECONOMIC FACTORS ON NONPERFORMING LOANS IN THE KENYAN BANKING INDUSTRY. MAKUSA GEORGE MAWILI HD 335-40-0284/2012 JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLGY Email;mawiligeorge@yahoo.com Phone No. +254 0728 165 416 Abstract This study aimed to investigate the effect of macroeconomic factors on the performance of nonperforming loans in the Kenyan commercial Banking industry. The research methodology adopted was a simple time series analysis design that assisted

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    Statistics Coursework

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    Coursework This handout provides information about the module’s second coursework. Below‚ you will find the coursework as well as information about the marking scheme. * The coursework requires you to engage with regression analysis by performing various regressions in Eviews and by commenting on the main results. * The aim of the coursework is to test your ability to handle datasets with the use of a specialist software and to provide critical and informative comments on the outcome of

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    Linear Regression & Best Line Analysis Linear regression is used to make predictions about a single value. Linear regression involves discovering the equation for a line that most nearly fits the given data. That linear equation is then used to predict values for the data. A popular method of using the Linear Regression is to construct Linear Regression Channel lines. Developed by Gilbert Raff‚ the channel is constructed by plotting two parallel‚ middle lines above and below a Linear Regression

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    淡江大學運輸管理學系 101(2): 2nd Semester‚ 2013 運輸經濟(二) Transportation Economics Assignment #1 Due: March 21‚ 2013 1. (40%) Transportation Demand Analysis Application Background: 新北市「淡水捷運延伸線輕軌運輸系統」,即淡水捷運延伸至淡海新市鎮之輕軌 捷運系統,此線原先由臺北市政府捷運工程局規劃,後來因淡海新市鎮未完全開 發,興建上無迫切性,故該案被裁定暫以公車接駁方式暫行之為佳。目前為配合 內政部營建署調整淡海新市鎮之建設及帶動當地發展,由交通部高速鐵路工程局 重新推動本計劃。目前淡水捷運延伸線可行性研究報告書已經由行政院核定,原 則同意綠山線及藍海線之路網,並優先推動綠山線。高鐵局刻正辦理綜合規劃複 審與環評複審相關作業。 Problem: 針對「淡海輕軌捷運」可行性評估,首要工作為未來的旅運需求分析與預測,試 說明與研擬如何進行淡海輕軌捷運系統的旅運需求分析步驟與架構,須蒐集、調 查或分析哪些因素與資訊?

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    Tutorial 12

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    Quantitative Methods for Economics Tutorial 12 Katherine Eyal TUTORIAL 12 25 October 2010 ECO3021S Part A: Problems 1. State with brief reason whether the following statements are true‚ false or uncertain: (a) In the presence of heteroskedasticity OLS estimators are biased as well as inefficient. (b) If heteroskedasticity is present‚ the conventional t and F tests are invalid. (c) If a regression model is mis-specified (e.g.‚ an important variable is omitted)‚ the OLS residuals will show a distinct

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    Lecture 05 1

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    Lecture 5: Multivariate Models Financial Time Series‚ Spring 2015 MQF at Rutgers University Heng Sun February 24‚ 2015 1/46 Today’s Topics Vector time series basics VARMA(p‚q) Cointegration References Ruey Tsay‚ Analysis of Financial Time Series‚ Chp 8 Ruey Tsay‚ Multivariate Time Series Analysis 2/46 Vector Time Series Each observation at time t  r1t  r2t  rt =  .  .. is a column vector in Rk    T  = [r1t ‚ r2t ‚ · · · ‚ rkt ]  rkt Example of vectors of different time series

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    Assignment 231541251

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    Assignment 2 This assignment is based on the data set in “CHARITY.RAW”‚ see also tutorial exercises C2.7 and C7.14. The definitions of variables are in the file “CHARITY.DES”. To examine what influence individuals’ decisions on donations‚ the linear regression model respond = β0 + β1 resplast + β2 avggift + β3 propresp + β4 mailsyear +u is used. For hypothesis-testing questions‚ please always present hypotheses‚ test statistic and its distribution under the null‚ decision rule and conclusion

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