Visual‚ Auditory and Kinesthetic (VAK) learning style model A common and widely-used model of learning style is Fleming’s (2001) Visual Auditory Kinesthetic (VAK) model. According to this model‚ most people possess a dominant or preferred learning style; however some people have a mixed and evenly balanced blend of the three styles: 1. Visual learners 2. Auditory learners 3. Kinaesthetic learners Visual learners tend to: • Learn through seeing • Think in pictures
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Model rocketry is a hobby similar to building model airplanes‚ where rocket-shaped models are flown vertically and recovered by a variety of means. The rockets may vary greatly in size and complexity.According to the National Association of Rocketry (NAR) safety code‚ model rockets are constructed of paper‚ wood‚ plastic and other lightweight materials. The code also provides guidelines for motor use‚ launch site selection‚ launch methods‚ launcher placement‚ recovery system design and deployment
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The carnival models evil and temptation throughout the story. The characters get drawn into the carnival because of their desires. However‚ they pay the price when the carnival “gorges on fear and pain” (202). The carnival does not fulfill its purpose when nobody wants to give up everything for his or her one desire. Nonetheless‚ people like Miss Foley give up their souls for their greed and end up young‚ dazed‚ and forever a part of hell. Charles learned to accept “everything at last‚ accepted the
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this investor and how much will it cost to execute each strategy? Name one benefit and one drawback associated with each (5 marks) c) Using put call parity‚ the data provided and assuming that the 30-day US government treasury bill rate is 0.01%‚ what should be the price (premium) of a Google put option with a strike price of $1‚105 and having a expiry date of January 18th‚ 2014? (Recall the t-bill rate of 0.01% is an annual rate) (4 marks) a) Current Price P = 1‚105 call options: K = 1‚105
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screen All-In-One / CISSP Certification All-in-One Exam Guide / Harris / 222966-7/ Chapter 5 C HAPTER Security Models and Architecture In this chapter‚ you will learn about the following topics: • Computer architecture and the items that fall within it • Trusted computing base and security mechanisms • Components within an operating system • Various security models • Security criteria and ratings • Certification and accreditation processes Computer and information security covers
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of human behavioural models and the commonalities thereof with consumer behaviour‚ impacting the marketing field of study. Once the human behavioural models have been addressed‚ the chapter will focus on models of consumer behaviour. Section 2.2 of this chapter will provide an overview of consumer behaviour‚ followed by models of human behaviour in Section 2.3. Section 2.4 will represent the main discussion of Chapter 2 by focusing on the definition‚ purpose and value of models of consumer behaviour
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.2.3 Time series models Time series is an ordered sequence of values of a variable at equally spaced time intervals. Time series occur frequently when looking at industrial data. The essential difference between modeling data via time series methods and the other methods is that Time series analysis accounts for the fact that data points taken over time may have an internal structure such as autocorrelation‚ trend or seasonal variation that should be accounted for. A Time-series model explains
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Regression with Time Series Data Week 10 Main features of Time series Data Observations have temporal ordering Variables may have serial correlation‚ trends and seasonality Time series data are not a random sample because the observations in time series are collected from the same objects at different points in time For time series data‚ because MLR2 does not hold‚ the inference tools are valid under a set of strong assumptions (TS1-6) for finite samples While TS3-6 are often too restrictive
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report on the time-series analysis of continuously compounded returns for Ford and GM for the periods January 2002 till April 2007 using monthly stock prices. This analysis is aimed at estimating the ARIMA model that provides the best forecast for the series. This paper will be divided into 2 sections; the first section showing the Ford analysis and the second the GM analysis. Section 1: Ford Figure 1: Time series plot for raw Ford data. Figure 1 shows a time series plot of the
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Time Series Prediction of Earthquake Input by using Soft Computing Hitoshi FURUTA‚ Yasutoshi NOMURA Department of Informatics‚ Kansai University‚ Takatsuki‚ Osaka569-1095‚ Japan nomura@sc.kutc.kansai-u.ac.jp Abstract Time series analysis is one of important issues in science‚ engineering‚ and so on. Up to the present statistical methods[1] such as AR model[2] and Kalman filter[3] have been successfully applied‚ however‚ those statistical methods may have problems for solving highly nonlinear
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