FLOOD It was the worst rainy weather I had seen. The skies remained overcast as sheets of rain poured down without stopping. In the evenings‚ the rain was usually accompanied by blinding flashes of lightning and deafening peals of thunder. Most of the residents in my area remained confined indoors. Apart from people scurrying to and from work and school‚ there was little outdoor activity. The town where I live‚ Kuantan‚ faces the Pahang River. After three days of incessant rain‚ the swollen river
Premium Weather Flood Wind
The 2008 U.S. presidential election brought the issue of domestic terrorism to national attention when it was reported that then-candidate Barack Obama was professionally linked to William “Bill” Ayers‚ co-founder of the Weather Underground. The Weather Underground was a militant faction of the Students for a Democratic Society (SDS)‚ a national organization representing the New Left on college campuses. The American public was forced to confront the actions of the Weathermen‚ as they were known
Premium Federal Bureau of Investigation J. Edgar Hoover Black Panther Party
ESM’s responsibilities included accomplishing and balancing the following factors: * forecasting future demand and container usage * managing inventory and tracking the flow of containers * planning distribution capacity * creating the shipping schedule * managing supply chains ESM managers can enhance forecast accuracy by integrating the variable causal factors in the operational forecasting. Collaboration and accurate data collection is a must in current chemical industry for
Premium Supply chain management Forecasting Management
Demand Forecasting Problems Simple Regression a) RCB manufacturers black & white television sets for overseas markets. Annual exports in thousands of units are tabulated below for the past 6 years. Given the long term decline in exports‚ forecast the expected number of units to be exported next year. |Year |Exports |Year |Exports | |1 |33 |4 |26
Premium Regression analysis Errors and residuals in statistics Forecasting
Case summary – Enron Corporation’s Weather Derivatives Steve Haik‚ Dan Sleker and Bas van Bellegem – March 2003 Background In October Mary Watts‚ CFO of Pacific Northwest Electric (PNW) reviewed the forward plan for PNW’s 200-2001 season. PNW’s has been experiencing nearly no EPS growth since 1995 due to deregulation and warmer-than-average winter climate. The stock price had suffered accordingly‚ but there maybe a way to hedge the weather risk via a new “weather derivative” being proposed by Enron’s
Premium Contract Derivative Insurance
HOW WEATHER EFFECTS PEOPLE How weather effects peoples lives and activities. Weather‚ is the day to day change in conditions including the changes in the atmosphere‚ these changes include temperature‚ levels of precipitation‚ wind speed‚ wind direction and the change in air pressure. These measurements are usually taken and recorded at least once a day. Weather is the day-to-day changes in Earths atmospheric conditions. Climate‚ is the average conditions for an area or country recorded over a
Premium Climate Weather Rain
Forecasting Models: Associative and Time Series Forecasting involves using past data to generate a number‚ set of numbers‚ or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. Time Series and Associative models are both quantitative forecast techniques are more objective than qualitative techniques such as the Delphi Technique and market research. Time Series Models Based on the assumption that history will repeat itself‚
Premium Regression analysis Forecasting Linear regression
Harper Chemical Jeffrey Gomez February 5‚ 2013 Introduction Harper Chemical’s forecasting for its new project called Domanite was very inaccurate. Expenses were estimated with a failure to account for unexpected expenditures‚ and spending was not regulated well. Sales figure estimates were inflated‚ and did not account for the difficulty of opening a new market. Unexpected Losses It was originally estimated that the sales volume of Domanite would hit 55‚000 tons per year by 1983.
Premium Marketing Prediction Forecasting
Choose one of the forecasting methods and explain the rationale behind using it in real life. I would choose to use the exponential smoothing forecast method. Exponential smoothing method is an average method that reacts more strongly to recent changes in demand than to more distant past data. Using this data will show how the forecast will react more strongly to immediate changes in the data. This is good to examine when dealing with seasonal patterns and trends that may be taking place. I would
Premium Exponential smoothing Forecasting Time series analysis
Describe a day when bad weather in your area caused a change of plans. It was Sunday‚ 14th May‚ that started like any other Sunday morning. The only difference was that it was the morning of our parents’ wedding anniversary. As usual‚ it was meant to be a small celebration between family‚ relatives and close friends. We planned to have an outdoor garden party to suit our budget. The freshly mowed lawn variegated with rows of bright green and red leafy plants was the venue for the celebration.
Premium Storm Meteorology Pine