series and heavily depends on the independence of the data. The general algorithm may not hold if dependence is present. We have proposed a novel martingale decomposition to address the case of dependent data. 5 Measurement error model: small area estimation We proposed [4] a novel shrinkage type estimator and derived the optimum value of the shrinkage pa- rameter. The asymptotic value of the shrinkage coefficient depends on the Wasserstein metric between standardized distribution of the observed variable
In the additive version, seasonality is expressed as a quantity to be added to or subtracted from the series average. For the multiplicative model seasonality is expressed as a percentage (seasonal relatives or seasonal indexes) of the average (or trend). These are then multiplied times values in order to incorporate seasonality. Associative Models Also known as “causal” models involve the identification of variables that can be used to predict another variable of interest. They are based on the
Course ADVANCED ECONOMETRICS Programme MSc in Finance Site HEC Lausanne Semester Fall 2014 Module Leader Diane Pierret Teaching Assistant Daria Kalyaeva Assessment Type: Empirical Assignment Assessment Title: A Dynamic Model for Switzerland GDP Written by: Group Y (Ariane Kesrewani & Alan Lucero) Additional attachments: Zip Folder containing Matlab code, data and figures
earnings. It also includes events that are expected to happen and could happen. New information that has not been factored into get factored in as soon as they are available. A market has three trends The Dow Theory identifies three trends within the market- major, intermediate and minor. A major trend may last from less than a year to
Denny’s Diner is an unlikely company to market to Millennials. The twenty-four-hour diner that specialized in cheap, simple food is not exactly what comes to mind when one thinks of the restaurants that the environmentally and health conscious millennials will choose (Jang et al). But not only are millennials “green” and healthy, they are increasingly tach savvy. Recently, social media and meme popularity have skyrocketed, and Denny’s hopes to capitalize on that. A quick scroll through Denny’s Tumblr
approximately 10 minutes. Your power point presentation should clearly explain and provide sufficient detail on: 1. General information on the function and importance of market research. 2. The company’s position in the market place (and including market trends) and why you believe market research would be of benefit to the company. 3. A statement of what you believe the company’s market research needs are (and as discussed with your assessor in meeting prior to commencing Part 1) and based on the documentation
In the last past years, Trend Micro experienced a huge economic growth, especially in Mexico’s region. But, before 2012 there was an impacting declination in growth, in 2012 it was expected a growth of 41,4% in 2014. As can be seen in the fishbone diagram, one of the reasons was because the companies they bought didn’t have the economic effect they expected, and their products were not efficient for Trend Micro. Moreover, solutions were obsolete and were only able to solve old problems rather than
that one person would be required full time for fourteen weeks. Estimation team confirmed that they used the three point estimates where minimum timeframe was four weeks and most likely thirteen weeks therefore being pessimistic they put the sixteen week timeframe. Barbara knew that three point estimate was not correct since estimations were not based on complexity of project and only suits the need of small project. The estimation group was not considering the complexity factor during making three
Understanding the Dataset: Attributes Name Explanation Type CRIM Per capita crime rate by town Numeric ZN Proportion of residential land zoned for lots over 25,000 sq.ft Numeric INDUS Proportion of non-retail business acres per town Numeric CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) Numeric NOX Nitric oxides concentration (parts per 10 million) Numeric RM Average number of rooms per dwelling Numeric AGE Owner-occupied units built prior to 1940 Numeric DIS Weighted
CHAPTER FOUR: RESEARCH METHODOLOGY In Chapter 4 will be described the methodology which was used. In this chapter, we will explain the reasons for choosing this methodology and give more details about this study. We will explain and present the methods that help us in this project. An overview of the method that was used to collect the data will be given. Afterwards, the statistical concepts will be explained thoroughly. 4.1 Data Collection This was a multicentre, prospective longitudinal