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Comparisons can only be made between the BCS data and a subset of the recorded crime statistics. This is because the BCS does not include crimes where the victim is less than 16 years, where the offence was committed in commercial or public sector premises and where the victim is in an institution or homeless. The BCS does not measure victimless crime, crimes where the victim is not available for interview, fraud or sexual offences. It does, however, collect information on the effects of crime and the variance in the level of risk of crime for different groups. The 2001 BCS shows that there has been a 21% fall in overall crime since 1977 and a 12% reduction in the year from 1999 to 2000. The BCS estimates indicate that the chance of becoming a victim of crime has fallen to its lowest since the introduction of the BCS 20 years ago (Kershaw et al., 2001). In contrast the police recorded crime data are concerned with number of arrests, the total number of crimes reported and the number of crimes detected and by what method. This provides a clear-up rate that is considered to be the most important measure of effectiveness, despite being easily manipulated. It can only ever be a measure of failure because no account is taken in these statistics of the number of people or premises within a particular area who were not victimised. The gures do not take account of how many victims in the of cial crime statistics have been victimised more than once. This in ates the number of apparent victims and masks the fact that the majority of crime is concentrated in particular geographic areas and that a proportion of victims are offended against repeatedly (Everson and Pease, 2001).

35 Part of the Compstat process, at least in New York City, involved that Department reinventing itself as speedy, maneuverable task force of dozens of smaller ships precincts and other field units which, acting as a coordinated whole, have realized the seemingly impossible dream of reducing crime in the Big Apple to a degree nothing short of eye-popping 36 Originally a computer program to compare statistics (hence the name), Compstat grew into a management philosophy that places high levels of responsibility on police commanders, down to the precinct Captain level, to understand the crime problem in their areas and create effective strategies to deal with it Under the New York model, all commanders are debriefed every two weeks at.

Estimation of incidence of HIV infection using cross-sectional marker surveys Biometrics, 50, 675 688 Saunders, P (1993) Epidemiology of mental disorder in old age: GMS-AGECAT studies Advances in Old Age Psychiatry, 4, 1 2 Savage, L J (1954) The Foundations of Statistics New York: Dover Shaked, M, and Shantikumar, J G (1983) Phase type distributions In Encyclopedia of Statistical Science, ed S Kotz and N Johnson New York: Wiley Silverman, B (1986) Density Estimation for Statistics and Data Analysis New York: Chapman & Hall Sittler, R (1956) Systems analysis of discrete Markov processes Institute of Radio Engineers Transactions on Circuit Theory, Vol 3, 257 266 Skovgaard, I M (1987) Saddlepoint expansions for conditional distributions Journal of Applied Probability, 24, 875 887 Smith, A F, and Gelfand, A E (1992) Bayesian statistics without tears: a sampling resampling perspective American Statistician, 46, 84 88 Taylor, H, and Karlin, S.

The installation function of the Code Distributor component starts when the newly created code is available and nishes with the installation of this code into the selected storage points of the underlying infrastructure. The criteria for this selection are provided by management policies acquired during the service de nition epoch, with the goal of achieving the optimum code distribution. General policies, established by overall system administration decisions, may also be employed. The maintenance function is always active and ensures that the installed code is stored consistently within the infrastructure that is, keeping a record of code versions, adding new code, removing obsolete code, relocating code for optimizing its distribution, and at all times keeping an updated list of the URLs of the available code. The URL selection mechanism is activated by code URL requests from the Code Execution Controller. These requests ask for the most convenient URL of a speci c customized service given a list of the intended execution points for this service. The Code Distributor is responsible for determining the optimum URL, based on the installed code, the URL list, and the management policies de ned to affect this selection. These policies and the policies in uencing the code installation are acquired during the service de nition epoch or determined by global system administration decisions. The functionality of the Code Distributor component can be realized by the computational components presented in Figure 3.11. The Code Installer component employs a listener for code installation requests, which receives the target code. It maintains a catalog of all the available Code Storage points within the infrastructure. Based on this catalog, and on the management policies, it generates a list of target storage points for the code in question. This list is forwarded to a mechanism that