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Heteroskedasticity-consistent standard errors that differ from classical standard errors may indicate model misspecification. Substituting heteroskedasticity-consistent standard errors does not resolve this misspecification, which may lead to bias in the coefficients. In most situations, the problem should be found and fixed. [5]
For example, jQuery can be used for finding an element in the document with a certain property (e.g. all elements with the h1 tag), changing one or more of its attributes (e.g. color, visibility), or making it respond to an event (e.g. a mouse click).
There are <ref> tags, after the {} or <references> tags. Low? Bad or deprecated css attributes Display problem Bad CSS should be fixed. Deprecated values should be updated for modern rendering. Low: No Newline inside a wikilink Display problem Found a newline character inside a wikilink. A newline character causes the wikilink not to work.
The data-theme attribute tells the browser what theme to render. The data-add-back-btn attribute adds a back button to the page if set to true. Lastly, icons can be added to elements via the data-icon attribute. jQuery Mobile has fifty commonly-used icons built in. A brief explanation of the Data Attributes used in this example:
Several basic attributes types have been recognized, including: (1) required attributes needed by a particular element type for that element type to function correctly; (2) optional attributes used to modify the default functionality of an element type; (3) standard attributes supported by many element types; and (4) event attributes used to ...
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.
The GNU Compiler Collection and the Solaris Studio C compiler share the same syntax for annotating symbols as weak, namely a special #pragma, #pragma weak, and, alternatively, a function and variable attribute, __attribute__((weak)).
Additionally, there are many different types of attribution biases, such as the ultimate attribution error, fundamental attribution error, actor-observer bias, and hostile attribution bias. Each of these biases describes a specific tendency that people exhibit when reasoning about the cause of different behaviors. [3]