Arndt, C <br/><br/>
Information measures : information and its description in science and engineering 
C. Arndt 
 - Berlin  Springer  c2001 
 - xix, 547 p. : ill. ; 24 cm 
<br/><br/> Includes bibliographical references (p. [519]-543) and index. Contents: <ul> <li>Abstract</li> <li>Introduction</li> <li>Basic considerations</li> <li>Historic development of information theory</li> <li>The concept of entropy in physics</li> <li>Extension of Shannon's information</li> <li>Generalized entropy measures</li> <li>Information functions and gaussian distributions</li> <li>Shannon's information of discrete distributions</li> <li>Information functions for gaussian distributions part II</li> <li>Bounds of the variance</li> <li>Ambiguity function</li> <li>Akaike's information criterion</li> <li>Channel information</li> <li>Deterministic and stochastic information</li> <li>Maximum entropy estimation</li> <li>Concluding remarks</li> <li>Appendix.</li> </ul> 
<br/><br/><label>ISBN: </label>9783540416333 
<br/><br/><label>ISSN: </label>2001020510 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Information measurement
<br/><br/><label>Dewey Class. No.: </label>003.54 ARN