000 | 03413nam a22005415i 4500 | ||
---|---|---|---|
001 | 978-3-540-36098-8 | ||
003 | DE-He213 | ||
005 | 20190213151800.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1969 gw | s |||| 0|eng d | ||
020 |
_a9783540360988 _9978-3-540-36098-8 |
||
024 | 7 |
_a10.1007/BFb0079113 _2doi |
|
050 | 4 | _aQA273.A1-274.9 | |
050 | 4 | _aQA274-274.9 | |
072 | 7 |
_aPBT _2bicssc |
|
072 | 7 |
_aMAT029000 _2bisacsh |
|
072 | 7 |
_aPBT _2thema |
|
072 | 7 |
_aPBWL _2thema |
|
082 | 0 | 4 |
_a519.2 _223 |
245 | 1 | 0 |
_aProbability and Information Theory _h[electronic resource] : _bProceedings of the International Symposium at McMaster University, Canada, April, 1968 / _cedited by M. Behara, K. Krickeberg, J. Wolfowitz. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1969. |
|
300 |
_aIV, 260 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Mathematics, _x0075-8434 ; _v89 |
|
505 | 0 | _aOn different characterizations of entropies -- The structure of capacity functions for compound channels -- Boolean algebraic methods in Markov chains -- Maxima of partial sums -- Series expansions for random processes -- Glivenko-Cantelli type theorems for distance functions based on the modified empirical distribution function of M. Kac and for the empirical process with random sample size in general -- On the continuity of Markov processes -- Some mathematical problems in statistical mechanics -- Asymptotic behaviour of the average probability of error for low rates of information transmission -- On the optimum rate of transmitting information -- A necessary and sufficient condition for the validity of the local ergodic theorem -- Recent results on mixing in topological measure spaces -- Convergence in probability and allied results -- Applications of almost surely convergent constructions of weakly convergent processes -- Random processes defined through the interaction of an infinite particle system -- The central limit theorem and ?-entropy -- Maximum probability estimators with a general loss function. | |
650 | 0 | _aDistribution (Probability theory. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aScience (General). | |
650 | 1 | 4 |
_aProbability Theory and Stochastic Processes. _0http://scigraph.springernature.com/things/product-market-codes/M27004 |
650 | 2 | 4 |
_aProbability and Statistics in Computer Science. _0http://scigraph.springernature.com/things/product-market-codes/I17036 |
650 | 2 | 4 |
_aPopular Science, general. _0http://scigraph.springernature.com/things/product-market-codes/Q00007 |
700 | 1 |
_aBehara, M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aKrickeberg, K. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aWolfowitz, J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783662180693 |
776 | 0 | 8 |
_iPrinted edition: _z9783540046080 |
830 | 0 |
_aLecture Notes in Mathematics, _x0075-8434 ; _v89 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/BFb0079113 |
912 | _aZDB-2-SMA | ||
912 | _aZDB-2-LNM | ||
912 | _aZDB-2-BAE | ||
999 |
_c11868 _d11868 |