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Two additional comments are in order First, parameters !XW , !XY and !X are lj l li set constant over time, as well as the association between W(t) and X(t + 1) for t = 1, 4 and between Y(t) and X(t + 1) for t = 5, 8 These restrictions are consistent with the notion that the measurement properties of properly designed survey instruments are stable over time a result that is well established in the literature Second, in order to fully specify f() we perform a specification search within a set of possible functions in t (linear, squared, exponential) We end up by choosing f( t) = exp(t) as the best-fit specification, on the basis of L27 (4) Lastly, we set up the following further restrictions on parameters of the measurement submodel, motivated both by model parsimony and by evidence on the error generating mechanism.

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For example, a client may wish to issue a request even if the server is not available, and may also wish to continue its processing and not to be blocked while waiting for a response from the server The inverse case may also be true for a server sending a reply to a client Unlike in the RPC model, a client may also wish not to address a single, speci c server, but to send a message to multiple recipients, or to have a message processed by any server of a group of servers that is able to process the request Message-oriented middleware is a solution to these problems The middleware acts as a mediator between client and server, buffering or persistently storing requests and replies Applications interact with the MOM, but not directly with each other MOM ensures guaranteed message delivery, so that applications can re-and-forget a message.

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MOM naturally implements an asynchronous communication model, enabling applications to communicate with each other without requiring same-time availability or causing anyone to block 341 Messaging Models Two principle messaging models exist: point-to-point messaging and publish/subscribe messaging With point-to-point messaging, or message queuing, message queues are used as the mediators between communicating applications A queue is a persistent store for messages A queue is referred to using a logical name, and it is managed by a queue manager (a messaging daemon) A messaging architecture will typically comprise one or more (distributed) queue managers, each maintaining multiple queues A queue also is a transactional resource that can be integrated in direct transaction processing That is, writing a message to a queue or reading a message from a queue is permanent or can be undone, depending on whether the transaction that created the message commits or aborts.

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The PSPP method provides robustness for estimating the marginal mean of Y, but this robustness property does not necessarily apply for other parameters, such as subgroup means. In particular in longitudinal clinical trials, we are often primarily concerned with comparisons of means between treatment groups, which are contrasts of means in subgroups defined by the treatment variable. Zhang and Little (2008) show in simulations that the PSPP method does not provide estimates of treatment contrasts that are protected against model misspecification, even if the treatment variable is included as a covariate in the g function. Zhang and Little (2008) propose extensions of the PSPP stratified PSPP and bivariate PSPP to address this issue. Specifically, suppose that missing values are confined to Yp, and interest is in the mean of Yp given X1, where X1 is a categorical variable with C categories. The stratified PSPP method computes a separate spline on the propensity to respond in each of the categories of X1, as follows:

The probability of making mistakes is assumed to be constant for the same month across the various years This implies that !XW !XY and lj li X t W t X t 4 Y t 4 lt it lt 4 jt 4 The rationale for this assumption again has to do with the concept of time stability of the measurement properties of the survey instruments, but in a slightly different sense It is based on the fact that the survey waves were carried out in the same month of consecutive years March 1991 and March 1992 and on empirical evidence that response errors mainly depend on the period of time elapsing between survey time and the event to be recalled, rather than on the calendar month in which the event took place In the hierarchical log-linear model formulation, all third-order interaction parameters are excluded.

This describes a very powerful and important concept, and we will come back to transactional queuing later in this section Publish/subscribe messaging describes another messaging model, which employs the concept of a topic (in a namespace) to publish messages to, or to subscribe to in order to receive published messages Unlike the transactional message publication and consumption model of message queues, a message posted to a topic may be read ( consumed ) by multiple recipients Many forms of publish/subscribe messaging have been proposed,.

Asset Profit # # Max Trades Days Draw MDD MCL P:MD P:L Ratio %W Time %

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