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TABLE 7.4 Moving average crossover optimization for NYMEX crude oil out-ofsample study (2003).

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Goodman, L (1974) Exploratory latent structure analysis using both identifiable and unidentifiable models Biometrika, 61, 215 231 Haberman, S J (1979) Analysis of Qualitative Data, 2 vols New York: Academic Press Hagenaars, J A (1990) Categorical Longitudinal Data: Log Linear Panel, Trend and Cohort Analysis Newbury Park: Sage Hagenaars, J A (1998) Categorical causal modeling: Latent class analysis and directed log linear models with latent variables Sociological Methods and Research, 26, 436 487 Jabine, T, Loftus, E, Straf, M, Tanur, J and Tourangeau R (1984) Cognitive Aspects of Survey Methodology: Building a Bridge between Disciplines Washington, DC: National Academy Press Kuha, J and Skinner, C (1997) Categorical data and misclassification In L Lyberg et al (Eds), Survey Measurement and Process Quality (pp 633 670) New York: John Wiley & Sons, Inc Langeheine, R, Pannekoek, J and van de Pol, F (1996).

pWx ,Wy ,Wt (x , y , t ) dx dy dt . Making the change of variables kx = x /t , ky = y /t , t = t dx dy dt = t 2 dkx dky dt , after some calculations we get N = 4 2 (S)pW (u) 2

news that was even more stunning than de Foulques original letter. The pope had died and a newcomer, Clement IV, had ascended to the throne of St. Peter. The original name of that new pope was Cardinal Guy de Foulques.

Bootstrapping goodness of fit measures in categorical data analysis Sociological Methods & Research, 24, 492 516 Lazarsfeld, P F and Henry, N W (1968) Latent Structure Analysis New York: Houghton Muffins Magnac, T and Visser, M (1999) Transition models with measurement errors Review of Economics and Statistics, 81, 466 474 Martini, A (1988) Retrospective versus panel data in estimating labor force transition rates: comparing SIPP and CPS In Proceedings of the Social Science Section, American Statistical Association (pp 109 114) Washington, DC: American Statistical Association Poterba, J and Summers, L (1986) Reporting errors and labor market dynamics Econometrica, 54, 1319 1338 Singh, A C and Rao, J N K (1995) On the adjustment of gross flows estimates for classification errors with application to data from the Canadian Labour Force Survey Journal of the American Statistical Association, 90, 1 11 Skinner, C and Torelli, N (1993).

It is an accepted fact that databases provide large amounts of data for retrieval and manipulation. Therefore, it is not surprising that the Java platform uses the JDBC standard library to access relational databases. JDBC is an API that provides access to a database from a Java program. As an extension of the servlet technology, which is based on the Java platform, JSP has enhanced its functionality by incorporating database interactions in JSP applications. The performance of a Web application is assessed in terms of the overhead used for processing a request and the time taken for generating the response. The overhead can be measured in terms of the use of resources and the load on network traffic. Because

Measurement error and the estimation of gross flows from longitudinal economic data Statistica, 3, 391 405 Sudman, S and Bradburn, N M (1973) Effects of time and memory factors on response in surveys Journal of the American Statistical Association, 68, 805 815 Tourangeau R, Rips, L J and Rasinski, K A (2000) The Psychology of Survey Response Cambridge: Cambridge University Press van de Pol, F and Langeheine, R (1997) Separating change and measurement error in panel surveys with an application to labour market data In L Lyberg et al (Eds), Survey Measurement and Process Quality (pp 671 688) New York: Wiley Vermunt, J K (1996) Log Linear Event History Analysis: A General Approach with Missing Data, Latent Variables and Unobserved Heterogeneity Tilburg: Tilburg University Press Wiggins, L M (1973) Panel Analysis: Latent Probability Models for Attitude and Behavior Change Amsterdam: Elsevier..

public class CustomerValues implements Serializable { public int customerID; public String name; public String address; public String email; public String country; public String phoneNumber; public CustomerValues() { } }

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