Course Outline for Spring 2012‚ Statistics 153: Introduction to Time Series January 16‚ 2012 • Instructor: Aditya Guntuboyina (aditya@stat.berkeley.edu) • Lectures: 12:30 pm to 2 pm on Tuesdays and Thursdays at 160 Dwinelle Hall. • Office Hours: 10 am to 11 am on Tuesdays and Thursdays at 423 Evans Hall. • GSI: Brianna Heggeseth (bhirst@stat.berkeley.edu) • GSI Lab Section: 10 am to 12 pm OR 12 pm to 2 pm on Fridays at 334 Evans Hall (The first section will include a short Introduction
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Tiffany Henault March 3rd‚ 2015 Quan901-CH2 Forecasting Lost Sales Case Study Section I: Summary Carlson Department store suffered heavy damage from a hurricane on August 31. As a result the store was closed for four months‚ September through December. Carlson is in dispute with its insurance company regarding the lost sales for the length of time the store was closed. Section II: Problem Identification Two issues to address are the amount of sales Carlson department store would have made if there
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EXAMINATION PAPER (DUE ON DECEMBER 11‚ 2013) You are expected to write a small individual paper as an examination requirement. The research paper is your individual forecasting project with actual economic and business data. The maximum size of the paper is 15 A4 pages. Before choosing the topic for your forecasting project‚ think carefully what your interests are‚ and what kind of information you would like to explore. Once you understand your interests‚ search for the relevant data AND
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USE OF SATELLITE TECHNOLOGY FOR WEATHER FORECASTING Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location and over the years many techniques have been used to forecast the weather‚ Satellite technology is one of it. The history of weather forecasting and early satellite programmes was told using archive film‚ highlighting the difficulties associated with a lack of weather data. Two hundred dedicated weather satellites
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FORECASTING AT HARD ROCK CAFÉ* MGMT 6130 Spring Quarter 2014 Contents Questions 1 Describe three forecasting applications at Hard Rock. Name other areas in which you think Hard Rock could use forecasting models. The Hard Rock Café uses forecasting models in a variety of areas. These areas include an earnings forecast‚ human resources forecast‚ and a placement forecast. The earnings forecast are present to set a long-term capacity plan. Hard Rock Cafe
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Internet Case Study for Chapter 4: Forecasting The Akron Zoological Park During the early 1990s‚ changes in consumer preferences and changes in governmental priorities‚ almost resulted in the permanent closing of the Akron Children’s Zoo. Lagging attendance and a low membership level did not help matters. Faced with uncertain prospects‚ the city of Akron opted out of the zoo business. In response‚ the Akron Zoological Park was organized as a corporation to operate the zoo under contract with the
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Question 5 - 10 marks (Equity Options) It is January 2nd‚ 2014 and Google Inc. (GOOG) stock is currently trading on the Nasdaq at a price of $1‚105.00 US dollars. Using the information provided below‚ please answer the following questions: (Note: ’Last’ means the last traded price of the put or call option. Use this number for your calculations). Call options: Put options: a) Based on the current stock price‚ which one of the two options is in the money? by how much? (1 marks) b)
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Competition environment 4.9.2 How –simulation method There are many ways to create a forecast for a certain goods that a planner can use just one or combine many methods together. According to Chopra and Meindl define these methods as follows: 1. Qualitative methods Rely upon a person’s intuition or subjective opinions about a market. These methods are most appropriate when there is not much historical data to work with. 2. Causal methods assume that demand is strongly related to a particular
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ETHICAL ISSUES IN FORECASTING AND DECISION ANALYSIS Dunal M. McCurdy MBA 615- Business Foundations November 24‚ 2011 ETHICAL ISSUES IN FORECASTING AND DECISION ANALYSIS It is especially important to think about the most critical causes of the problem in making your forecasts and decisions. The process of forecasting involves using observations about the problem situation to predict the outcomes of your own actions‚ the actions of others‚ and the outcomes of other situational
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Time Series Regression 3.1 A small regional trucking company has experienced steady growth. Use time series regression to forecast capital needs for the next 2 years. The company’s recent capital needs have been: ══════════════════════════════════════════════ Capital Needs Capital Needs (Thousands Of (Thousands Of Year Dollars) Year Dollars) -------------------------------------------
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