Pages that link to "Item:Q147981"

The following pages link to On multiply monotone distributions, continuous or discrete, with applications (Q147981):

Displaying 21 items.

• pkmon (Q147982) (← links)
• Convex extrema for nonincreasing discrete distributions: effects of convexity constraints (Q472384) (← links)
• Discrete Schur-constant models (Q495392) (← links)
• Stationary-excess operator and convex stochastic orders (Q661209) (← links)
• Testing \(k\)-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population (Q1663112) (← links)
• Risk apportionment and multiply monotone targets (Q1748546) (← links)
• Partially Schur-constant models (Q2001085) (← links)
• Multiple monotonicity of discrete distributions: the case of the Poisson model (Q2002570) (← links)
• On partially Schur-constant models and their associated copulas (Q2063746) (← links)
• Completely monotone distributions: mixing, approximation and estimation of number of species (Q2189623) (← links)
• Equilibrium distributions and discrete Schur-constant models (Q2282727) (← links)
• Least squares estimation of a completely monotone pmf: from analysis to statistics (Q2317336) (← links)
• A separation theorem for the weak \(s\)-convex orders (Q2514627) (← links)
• Loading monotonicity of weighted premiums, and total positivity properties of weight functions (Q2633749) (← links)
• Splitting models for multivariate count data (Q2657191) (← links)
• On <i>s</i>-convex bounds for Beta-unimodal distributions with applications to basis risk assessment (Q4959362) (← links)
• Logarithmically complete monotonicity of a matrix-parametrized analogue of the multinomial distribution (Q5094442) (← links)
• A Note on Monotonic Probability Distributions (Q5454834) (← links)
• Bell-shaped sequences (Q6135684) (← links)
• Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain (Q6183871) (← links)
• Contribution to an open problem of Harkness and Shantaram (Q6617319) (← links)