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On constrained maximum likelihood estimation with non-i.i.d. observations

https://doi.org/10.1007/bf02481968

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Central limit theorems for martingales and for processes with stationary increments using a Skorokhod representation approach

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Maximum-likelihood estimation in non-standard conditions

inferredcites →https://doi.org/10.1111/j.2517-6161.1969.tb00772.xopenalex-snapshot

Least-Squares Fitting of a Polynomial Constrained to be Either Non-Negative, Non-Decreasing or Convex

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Maximum Likelihood Estimation for Dependent Observations

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Martingale Central Limit Theorems

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The Lagrangian Multiplier Test

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Maximum-Likelihood Estimation of Parameters Subject to Restraints

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Note on the Consistency of the Maximum Likelihood Estimate

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Mathematical Methods of Statistics (PMS-9)

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