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In our special case this gives E(Y ) = 10(400+1)/(50+1) = 4010/51 = 786275 Before proceeding to the variance, we establish the fact that the mean of the negative binomial always exceeds that of the negative hypergeometric Since N > k, N + Nk > k + Nk so that cN/k > c(N + 1)/k + 1 establishing the result Although it is true that the negative binomial distribution is the limiting distribution for the negative hypergeometric distribution, this fact must be used sparingly if approximations are to be drawn We will return to this point later Now we establish a formula for the variance of the negative hypergeometric random variable We start with the previous recursion and multiply by y:

This Symbian OS smartphone ships with a PC suite that is not based on SCOM but is compatible with SCOM and with the methods described in this book if SCOM is separately installed.

Front end tools (e.g. WSMT)

y(y c)(N y + 1)P(Y = y)

Nokia 3600/3650

y(y 1)(N y + 1 k + c)P(Y = y 1)

Figure 10.4 Top level elements of OWL-S (OWL-S, 2004).

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The left-hand side reduces quite easily to (N + c + 1)E(Y 2 ) E(Y 3 ) c(N + 1)E(Y ) The right-hand side must be rst expanded in terms of y 1 and then it can be simpli ed to (N + c k)E(Y ) + (N 1 + c k)E(Y 2 ) E(Y 3 ) Then, putting the sides together, we nd E(Y 2 ) = from which it follows that Var(Y ) = c(N + 1) [(N k)(k c + 1)] (k + 2)(k + 1)2 (cN + 2c + N k)c(N + 1) (k + 2)(k + 1)

OS Version UI/Category Memory available to user Storage media Screen Pointing device Camera Symbian OS v6.1 Series 60 3.4 MB Yes; MMC 176 208, 4096/65536 colors No Yes; 640 480 resolution GSM 900/1800/1900 HSCSD GPRS (2 + 2, 3 + 1, class B and C) MIDP 1.0 CLDC 1.0 Nokia UI Wireless Messaging Mobile Media Infrared Bluetooth

a ServicePro le description, be describedBy a ServiceModel description, and support a ServiceGrounding description. In the rest of this section we take a closer look at the elements that are part of the OWL-S Service Pro le ontology (in Section 10.3.1), and of the OWL-S Service Model ontology (in Section 10.3.2); we do not discuss the OWL-S Grounding ontology in this section as we provide a wider overview of the general problem of SWS Grounding in Section 10.7.

It might be thought that the negative binomial distribution is a good approximation to the negative hypergeometric distribution This is true as the values in Table 711 indicate

Network Protocol(s)

In OWL-S, the Service Pro le provides means to describe the services offered by the providers, and the services needed by the requesters. No representation of services is imposed by the Service Pro le, but rather, using the OWL sub-classing it is possible to create specialized representations of services that can be used as service pro les. However, for pragmatic reasons, OWL-S provides one possible representation through the class Pro le. A service, de ned through the OWL-S Pro le, is modeled as a function of three basic types of information: The Organization that Provides the Service: The contact information that refers to the entity that provides the service (e.g., contact information may refer to the maintenance operator that is responsible for running the service, or to a customer representative that may provide additional information about the service, etc.). The Function the Service Computes: The transformation produced by the service. The functional description includes the inputs required by the service and the outputs generated; the preconditions required by the service and the expected effects that result from the execution of the service.

Table 711 Y 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 Neghyper 0014870 0012412 0009951 0007683 0005723 0004119 0002869 0001936 0001266 0000803 0000494 0000295 0000171 0000096 0000053 Negbin 00135815 0011657 0009730 0007921 0006305 0004916 0003763 0002831 0002097 0001531 0001103 0000785 0000552 0000384 0000265 Neghyper Negbin 00012883 00007543 00002209 0000239 0000582 0000797 0000894 0000896 0000831 0000728 0000609 0000490 0000381 0000288 0000212

This Symbian OS smartphone ships with a PC suite that is not based on SCOM but is compatible with SCOM and with the methods described in this book if SCOM is separately installed.

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