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somewhat complex and detailed processWith Facebook s switch to the real-time streaming update model, it realized that it needed to provide developers a new way to access the Feed than what s provided today Not only that, Facebook wanted to provide developers access to the stream from outside Facebook, whether it be on an external website, a mobile application, or a desktop applicationThis is the future of developer access to the heart of Facebook s information flow Because this is such a new feature and subject to constant changes (sometimes several changes per week), this book doesn t cover it in detail; by the time this book publishes, that information would probably be outdated Check this book s website for more nformation; it will have updated content when this feature is more concrete The new API allows applications to read content from the stream, publish their own content, and manage comments and ratings for individual Feed stories. Paint Code 128 Code Set C In Java Using Barcode printer for Java Control to .Related: QR Code Generation .NET , C# Intelligent Mail Generator , VB.NET Data Matrix Generator



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If this is a one-time requirement, it might be quickest to remove the check mark from the (All) item in the Report Filter, and then check the October dates. If you ll need frequent reports for a month s data, you could group the SalesWeek field, and then filter for a specific month, instead of individual dates. Follow these steps to group the dates: 1. Temporarily move the SalesWeek field to the Row Labels area. You can t group the dates while the field is in the Report Filter area. 2. Right-click one of the cells that contains a SalesWeek label, and then click Group. 3. In the Grouping dialog box, the earliest and latest dates in the SalesWeek field should automatically appear in the Starting at and Ending at date boxes. 4. In the By list, click Months, to select it. If other options are highlighted, click them, to deselect them. This groups all the data for each month, across multiple years. If you need to report on the years separately, also select Years in the By list. 5. Click OK to close the Grouping dialog box. 6. Move the SalesWeek field back to the Report Filter area, and then filter for October.

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showing that P {N1 (t) = k, N2 (t) = m} = P {N1 (t) = k}P {N2 (t) = m} The remarkable result (115) states that the next arrival is of type i with robability i /( 1 + 2 ) regardless of how long it takes until the next arrival This result is characteristic for competing Poisson processes which are independent of each other As an illustration, suppose that long-term parkers and short-term parkers arrive at a parking lot according to independent Poisson processes with respective rates 1 and 2 Then the merged arrival process of parkers is a Poisson process with rate 1 + 2 and the probability that a newly arriving parker is a long-term parker equals 1 /( 1 + 2 ) Example 112 A stock problem with substitutable products A store has a leftover stock of Q1 units of product 1 and Q2 units of product 2 Both products are taken out of production Customers asking for product 1 arrive according to a Poisson process with rate 1 Independently of this process, customers asking for product 2 arrive according to a Poisson process with rate 2 Each customer asks for one unit of the concerning product The two products serve as substitute for each other, that is, a customer asking for a product that is sold out is satis ed with the other product when still in stock What is the probability distribution of the time until both products are sold out What is the probability that product 1 is sold out before product 2 To answer the rst question, observe that both products are sold out as soon as Q1 + Q2 demands have occurred The aggregated demand process is a Poisson process with rate 1 + 2 Hence the time until both products are sold out has an Erlang (Q1 + Q2 , 1 + 2 ) distribution To answer the second question, observe that product 1 is sold out before product 2 only if the rst Q1 + Q2 1 aggregated demands have no more than Q2 1 demands for product 2 Hence, by (115), the desired probability is given by.

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