Tag: Branching

Free Download David M. Williams, Sandra Knapp, "Beyond Cladistics: The Branching of a Paradigm"
English | 2010 | ISBN: 0520267729 | PDF | pages: 349 | 3.4 mb
Cladistics, or phylogenetic systematics-an approach to discovering, unraveling, and testing hypotheses of evolutionary history-took hold during a turbulent and acrimonious time in the history of systematics. During this period-the 1960s and 1970s-much of the foundation of modern systematic methodology was established as cladistic approaches became widely accepted. Virtually complete by the end of the 1980s, the wide perception has been that little has changed. This volume vividly illustrates that cladistic methodologies have continued to be developed, improved upon, and effectively used in ever widening analytically imaginative ways.

Free Download Branching Processes: Proceedings of the First World Congress By Harry Cohn (auth.), C. C. Heyde (eds.)
1995 | 179 Pages | ISBN: 0387979891 | PDF | 5 MB
This volume presents the edited proceedings of the First World Congress on Branching Processes. The contributions present new research and surveys of the current research activity in this field. As a result, all those undertaking research in the subject will find this a timely and high-quality volume to have on their shelves.

Free Download Random Sums and Branching Stochastic Processes By Ibrahim Rahimov (auth.)
1995 | 195 Pages | ISBN: 038794446X | PDF | 5 MB
The aim of this monograph is to show how random sums (that is, the summation of a random number of dependent random variables) may be used to analyse the behaviour of branching stochastic processes. The author shows how these techniques may yield insight and new results when applied to a wide range of branching processes. In particular, processes with reproduction-dependent and non-stationary immigration may be analysed quite simply from this perspective. On the other hand some new characterizations of the branching process without immigration dealing with its genealogical tree can be studied. Readers are assumed to have a firm grounding in probability and stochastic processes, but otherwise this account is self-contained. As a result, researchers and graduate students tackling problems in this area will find this makes a useful contribution to their work.