000 02582nam a22004098i 4500
001 CR9780511629136
003 UkCbUP
005 20200124160241.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 090918s2005||||enk o ||1 0|eng|d
020 _a9780511629136 (ebook)
020 _z9780521832205 (hardback)
020 _z9780521539852 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQA274.76
_b.H33 2005
082 0 4 _a519.234
_222
100 1 _aHaccou, Patsy,
_eauthor.
245 1 0 _aBranching processes :
_bvariation, growth, and extinction of populations /
_cPatsy Haccou, Peter Jagers, Vladimir A. Vatutin.
264 1 _aCambridge :
_bCambridge University Press,
_c2005.
300 _a1 online resource (xii, 316 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge studies in adaptive dynamics ;
_v5
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _aGeneralities -- Discrete-time branching processes -- Branching in continuous time -- Large populations -- Extinction -- Development of populations -- Specific models.
520 _aBiology takes a special place among the other natural sciences because biological units, be they pieces of DNA, cells or organisms, reproduce more or less faithfully. As for any other biological processes, reproduction has a large random component. The theory of branching processes was developed especially as a mathematical counterpart to this most fundamental of biological processes. This active and rich research area allows us to make predictions about both extinction risks and the development of population composition, and also uncovers aspects of a population's history from its current genetic composition. Branching processes play an increasingly important role in models of genetics, molecular biology, microbiology, ecology and evolutionary theory. This book presents this body of mathematical ideas for a biological audience, but should also be enjoyable to mathematicians.
650 0 _aBranching processes.
650 0 _aPopulation biology.
700 1 _aJagers, Peter,
_d1941-
_eauthor.
700 1 _aVatutin, V. A.
_q(Vladimir Alekseevich),
_eauthor.
710 2 _aInternational Institute for Applied Systems Analysis,
_eissuing body.
776 0 8 _iPrint version:
_z9780521832205
830 0 _aCambridge studies in adaptive dynamics ;
_v5.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511629136
999 _c518575
_d518573