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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Quick Stab Collection Agency: A Regression Analysis Gerald P. Ifurung 04/11/2011 Keller School of Management Executive Summary Every portfolio has a set of delinquent customers who do not make their payments on time. The financial institution has to undertake collection activities on these customers to recover the amounts due. A lot of collection resources are wasted on customers who are difficult or impossible to recover. Predictive analytics can help optimize the allocation of
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is the mathematical analysis of baseball records and data. Sabermetrics uses its own unique statistical categories to measure player performance instead of the more orthodox categories including: runs batted in (RBI)‚ home runs (HR)‚ and wins (W) for a pitcher. The theory behind sabermetrics produces data using complex formulas to determine the value of a player for the team as a whole rather than what his own individual end-of-season statistical line indicates. By far‚ baseball has both the longest
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47 Review: Inference for Regression Example: Real Estate‚ Tampa Palms‚ Florida Goal: Predict sale price of residential property based on the appraised value of the property Data: sale price and total appraised value of 92 residential properties in Tampa Palms‚ Florida 1000 900 Sale Price (in Thousands of Dollars) 800 700 600 500 400 300 200 100 0 0 100 200 300 400 500 600 700 800 900 1000 Appraised Value (in Thousands of Dollars) Review: Inference for Regression We can describe the relationship
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Qualitative data analysis What Is Qualitative Analysis? Qualitative modes of data analysis provide ways of discerning‚ examining‚ comparing and contrasting‚ and interpreting meaningful patterns or themes. The varieties of approaches - including ethnography‚ narrative analysis‚ discourse analysis‚ and textual analysis - correspond to different types of data‚ disciplinary traditions‚ objectives‚ and philosophical orientations. What Is Qualitative Analysis? We have few agreed-on canons for qualitative
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RESEARCH DATA ANALYST JOB PROFILE SUMMARY JOB CATEGORY: JOB TITLE: Research Support Research Data Analyst JOB CATEGORY DEFINITION: This specialty covers the design‚ implementation and evaluation of various research projects. Functions include providing support in areas such as instrumentation‚ data management‚ laboratory operations and general administration. JOB TITLE DEFINITION: The Research Data Analyst gathers and analyzes data from various databases and sources‚ performing statistical and/or
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Chapter 1 Multivariate analysis refers to all statistical techniques that simultaneously analyze multiple measurements on individuals or objects under investigation. Factor analysis identifies the structure underlying a set of variables Discriminant analysis differentiates among groups based on a set of variables. All the variables must be random and interrelated in such ways that their different effects cannot meaningfully be interpreted separately. Nonmetric measurement scales Nominal
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The simple regression model (SRM) is model for association in the population between an explanatory variable X and response Y. The SRM states that these averages align on a line with intercept β0 and slope β1: µy|x = E(Y|X = x) = β0 + β1x Deviation from the Mean The deviation of observed responses around the conditional means µy|x are called errors (ε). The error’s equation: ε = y - µy|x Errors can be positive or negative‚ depending on whether data lie above (positive) or below the conditional
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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variabele is x‚ α is een constante‚ β geeft de helling van de lijn weer en de storingsterm wordt weergegeven als u (Brooks‚ 2002‚ p.45). De meest toegepaste methode om een lineaire lijn bij de data te creëren is de ordinary least squares (OLS) methode. De OLS methode is een methode om bij een gegeven set datapunten‚ die verondersteld worden praktisch op een rechte lijn te liggen‚ de "best passende" lijn te bepalen. Het totaal van de gekwadrateerde afwijkingen in verticale zin van de punten ten opzichte
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