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If we wanted to keep this variable in the analysis, we would need to extract the fourth component, which lifts the communality for housing median age over the 50% threshold This leads us to the statement of the minimum communality criterion for component selection, which we alluded to earlier Minimum Communality Criterion Suppose that it is required to keep a certain set of variables in the analysis Then enough components should be extracted so that the communalities for each of these variables exceeds a certain threshold (eg, 50%) Hence, we are nally ready to decide how many components to retain We have decided to retain four components, for the following reasons: r The eigenvalue criterion recommended three components but did not absolutely reject the fourth component Also, for small numbers of variables, this criterion can underestimate the best number of components to extract.

This method retrieves the text of an element in the XML document, using the name of the element as a key. Most of the work in this method is done by calling getElementsByTagName.

The frequent guest, de ned as a person who stays at the establishment more than a speci ed number of times per month or year, might be offered a free accommodation as either a business or a personal guest This person and his or her company should be entered into the database for follow-up with advertising promotions designed to attract that market segment The guest history is also useful in determining the types of rooms requested Are rooms with two double beds being requested more often than rooms with one king-size bed Are rooms designated as nonsmoking being requested more often than rooms designated as smoking Are suites with cooking facilities being requested by corporate clients for long-term guests Such hard, quanti able data are what hotel owners use to make construction and purchasing decisions.

r The proportion of variance explained criterion stated that we needed to use four components if we wanted to account for that superb 96% of the variability Since our ultimate goal is to substitute these components for the original data.

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Reviewing room rates can also assist the controller and director of marketing and sales in forecasting pro t-and-loss statements The frequency with which certain price categories of rooms are rented will indicate the price sensitivity of certain market segments If price sensitivity is an indicator of room occupancy, then marketing programs that maximize pro ts in that area must be implemented Examining occupancy patterns will help the front of ce manager to schedule person-.

connections in the network can be maintained at the desired level. For this, the average transmission rate for a connection is obtained based on channel quality (i.e., average SNR) under Nagakami fading. Then, we formulate a tandem queueing model to obtain the QoS performance measures such as PDU dropping probability, throughput, and average queueing delay for relay connections in an end-to-end basis. The end-to-end average queueing delay is used by the route selection and admission controller to decide whether the delay requirement for a relay connection can be satis ed or not. The performances of the proposed subchannel allocation and the admission control schemes are evaluated by extensive simulations. Also, the performance of the distributed subchannel allocation scheme is compared to that of a globally optimal subchannel allocation scheme from an end-to-end QoS perspective. Even though in this chapter we consider the QoS on a perconnection basis, the proposed framework can be easily extended for the case when the QoS needs to be maintained in an aggregate basis [such as in a Differentiated Services (DiffServ) IP network].

Epilepsy is a seizure disorder defined as excessive discharging of brain cells in a sudden, transient, and recurrent manner (Goldensohn, Glaser, & Goldberg, 1984; McConnell & Snyder, 1997; Shuster, 1996). Seizures result in intense muscle spasms, a complete or partial loss of consciousness, and sometimes unconscious purposeful behavior. Neurons in the brain become excited due to a variety of reasons that differ from person to person. For example, infections, metabolic abnormalities, and biochemical factors may all contribute to the development of a seizure. In addition to these physiological causes, psychological stress has been found to elicit seizures among those vulnerable to this disorder (D. Williams, 1982). Epilepsy affects about 1% of the population. Children are more likely to experience epilepsy than adults; children under the age of 5 and at puberty are the most vulnerable (Hauser, Annegers, & Anderson, 1983; McConnell & Snyder, 1997). Curiously, epilepsy is also more likely to occur among lower socioeconomic groups (Hauser et al., 1983). Biopsychosocial factors contribute to the development of epilepsy with genetics, infections, socioeconomics, stress, nutrition, prenatal care, and other factors contributing to the development and maintenance of the disorder (Hanesian, Paez, & Williams, 1988; Stears & Spitz, 1996). The severity, duration, and age of onset of epilepsy is related to the level of potential impairment in cognitive functioning. Attentionconcentration, memory, problem solving, motor, and intellectual abilities all can be significantly impaired due to problems associ-