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In Microsoft Windows applications programming, OLE Automation (later renamed to simply Automation [1] [2]) is an inter-process communication mechanism created by Microsoft. It is based on a subset of Component Object Model (COM) that was intended for use by scripting languages – originally Visual Basic – but now is used by several languages ...
OLE 1.0 later evolved to become an architecture for software components known as the Component Object Model (COM), and later DCOM. When an OLE object is placed on the clipboard or embedded in a document, both a visual representation in native Windows formats (such as a bitmap or metafile) is stored, as well as the underlying data in its own ...
OpenMCDF – Free .NET component for accessing OLE structured storage files, MPL licensed. For Linux: GNOME Structured File Library – Can read Microsoft structured storage files. POLE. Cross platform C++ for Window/MacOSX/Linux: POLE v3 and up. For Java: POIFS – Java implementation of the OLE 2 Compound Document format, part of Apache POI ...
OLE DB (Object Linking and Embedding, Database, sometimes written as OLEDB or OLE-DB) is an API designed by Microsoft that allows accessing data from a variety of sources in a uniform manner. The API provides a set of interfaces implemented using the Component Object Model (COM); it is otherwise unrelated to OLE .
The product's ownership history includes WordPerfect, Novell and Attachmate; Micro Focus's 2014 acquisition of Attachmate resulted in the product's Micro Focus GroupWise name. Micro Focus was acquired by OpenText and the product name was changed to OpenText GroupWise. The latest generation of the platform is GroupWise 24.4.
The idea of the expected value originated in the middle of the 17th century from the study of the so-called problem of points, which seeks to divide the stakes in a fair way between two players, who have to end their game before it is properly finished. [4] This problem had been debated for centuries.
The procedures of Bonferroni and Holm control the FWER under any dependence structure of the p-values (or equivalently the individual test statistics).Essentially, this is achieved by accommodating a `worst-case' dependence structure (which is close to independence for most practical purposes).
A hypothesis is rejected at level α if and only if its adjusted p-value is less than α. In the earlier example using equal weights, the adjusted p-values are 0.03, 0.06, 0.06, and 0.02. This is another way to see that using α = 0.05, only hypotheses one and four are rejected by this procedure.