000			01358nam a2200205Ia 4500
008			191130s2001##################000#0#eng##
020			_a9783540416333
022			_a2001020510
040			_aACL _cACL
082			_a003.54 ARN
100			_aArndt, C
245			_aInformation measures : information and its description in science and engineering _cC. Arndt
260			_aBerlin _bSpringer _cc2001
300			_axix, 547 p. : ill. ; 24 cm
500			_aIncludes 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>
650			_aInformation measurement
990			_a1e60d080ac10000c3d6f8d27e2c2cf80
991			_a79464
999			_c214915 _d214915