Louis Cheng The relationships among real GDP growth rate‚ unemployment rate and consumer price index of Japan between 1999 and 2009 In this essay‚ we will be looking at Japan’s economy through the 3 macro-economic indicators. The economy of Japan is the second largest in the world in terms of nominal GDP‚ after the US. Economic growth in Japan‚ however‚ has been slow in the recent decade: throughout the 1990s her growth was slower than growth in other major industrial nations‚ from 4.5% per
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inventory of bottles. Additionally‚ he is faced with storage limitations and erratic sales‚ all of which are impacting his decision. He is also concerned about over ordering to avoid issues from an off year‚ impact from government tax‚ tourism‚ and growth of exports. Assignment Question How many bottles should Alex Benson‚ purchasing manager of Greaves Brewery‚ order to support his company’s sales for the upcoming year 2004? Case Analysis Greaves Brewery was founded in 1924 by John
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accurately as possible‚ the population and wheat requirements in Punjab province for the year 2010-11. For this purpose a time series data regarding population‚ wheat production and wheat requirements were collected from the National statistics. An exponential smoothing model specific for forecasting was applied. Different weights ranging from 0.3-0.9 were given to the past data to get the precise estimates. Results revealed that a quantity of 7.55 million tons wheat will be surplus in Punjab as the total
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Exponential and Logarithmic Functions 2.2 Logarithmic Functions MATH14 • Logarithmic Function with base b • Graph of Logarithmic Function • Natural Logarithmic Function • Properties of Logarithmic Functions • Exponential and Logarithmic Equations Logarithmic Function with base b Definition: The logarithmic function with base b is the inverse of the exponential function with base b. y logb x Note: Dom f if and only if x b y Rng f Logarithmic Function
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mind-blowing and fascinating formula invented‚ called the “Euler’s formula”. This formula was created and introduced by mathematician Leonhard Euler. In essence‚ the formula establishes the deep relationship between trigonometric functions and the complex exponential function. Euler’s formula: eix=cos(x)+isin(x); x being any real number Wow -- we’re relating an imaginary exponent to sine and cosine! What is even more interesting is that the formula has a special case: when π is substituted for x in the
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Rate Pattern | Service Time Pattern | Population Size | Queue Discipline | A | Single-channel system (M/M/1) | Information counter at department store | Single | Single | Poisson | Exponential | Unlimited | FIFO | B | Multichannel (M/M/S) | Airline ticket counter | Multi-channel | Single | Poisson | Exponential | Unlimited | FIFO | C | Constant Service (M/D/1) | Automated car wash |
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H. Wayne Huizenga Graduate School of Business and Entrepreneurship Nova Southeastern University Assignment for Course: QNT5040 – Business Modeling Submitted to: Submitted by: BASS Date of Submission: Title of Assignment: Electric Fan Case - Forecasting CERTIFICATION OF AUTHORSHIP: We certify that we the authors of this paper. Any assistance we received in its preparation is fully acknowledged and disclosed in the paper. We have also cited any sources from which we used data‚ ideas or words
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economic growth in developing countries. The demographic transition model refers to the transition from high birth and death rates to low birth and death rates as a country develops and industrialises. There are four stages to the model‚ which predict the population growth of an
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sales in the US for the month of March 2012. The prediction is to take into account the historic data (provided) and current marketing environment. At first‚ two approaches of the analytical (quantitative) method were used – moving average and exponential smoothing. The objective of doing so was to get an idea of the prediction based on historic data only. Once that was done‚ the marketing environment was taken into consideration - to see how it would effect the predictions made by the models. In
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software that was used in order to predict the future sales was StatTools. StatTools provided me with four different methods (Moving Averages‚ Simple‚ Holt’s & Winters’ exponential smoothing) of forecasting to identify the most accurate prediction possible. With a Means Absolute Percentage Error (MAPE) of 3.72% the Holt’s exponential smoothing method was determined to be the best method of predicting monthly wine sales for the next sixteen months (Figure 2). Background/Additional Research
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