Probability, statistics, and analysis

Probability, statistics, and analysis

JFC Kingman, GEH Reuter (eds)
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This collection of papers is dedicated to David Kendall (Professor of Mathematical Statistics in the University of Cambridge) on the occasion of his 65th birthday. The content of the contributions indicates the breadth of his interests in mathematics and statistics, and the interrelation between mathematical analysis, the theory of probability, and mathematical statistics. The topics will interest postgraduate and research mathematicians.
Kateqoriyalar:
Mathematics - Probability
İl:
1983
Dil:
english
Fayl:
PDF, 26.94 MB
IPFS:
CID , CID Blake2b
english, 1983
Yüklə (pdf, 26.94 MB)
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    Açar ifadələr

     
    theorem
    markov
    function
    random
    processes
    positive
    solution
    probability
    continuous
    matrix
    zero
    finite
    lemma
    functions
    kendall
    convergence
    suppose
    vector
    limit
    consider
    defined
    implies
    equations
    martin
    dimensional
    transition
    denote
    equivalent
    boundary
    bounded
    independent
    corresponding
    stochastic
    define
    exp
    exists
    measures
    stationary
    density
    proposition
    equation
    fixed
    prove
    invariant
    values
    distributions
    exponential
    moves
    multivariate
    rate
    argument
    assume
    ergodic
    shows
    variables
    balls
    analysis
    angle
    choose
    conjecture