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昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--Interval Estimation
昆明理工大学理学院 概率论与数理统计 课件 Chapter 7 Estimation Problems Interval Estimation
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--Interval Estimation.
昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--The particular properties of estimators
昆明理工大学理学院 概率论与数理统计 课件 Chapter 7 Estimation Problems The particular properties of estimators
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--The particular properties of estimators.
昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--Point Estimation
昆明理工大学理学院 概率论与数理统计 课件 Chapter 7 Estimation Problems Point Estimation
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 7 Estimation Problems--Point Estimation.
ESTIMATION PROBLEMS IN MODELS WITH SPATIAL WEIGHTING MATRICES WHICH HAVE BLOCKS OF EQUAL ELEMENTS
SPATIAL WEIGHTING MATRICES HAVE BLOCKS EQUAL ELEMENTS
2015/9/24
Spatial models whose weighting matrices have blocks of equal elements might be considered if units are viewed as equally distant within certain neighborhoods, but unrelated between neighborhoods. We g...
An ADMM algorithm for a class of total variation regularized estimation problems
Signal processing algorithms stochastic parameters parameter estimation convex optimization and regularization
2015/8/7
We present an alternating augmented Lagrangian method for convex optimization problems where the cost function is the sum of two terms, one that is separable in the variable blocks, and a second that ...
An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems
Signal processing algorithms stochastic parameters parameter estimation
2015/7/9
We present an alternating augmented Lagrangian method for convex optimization problems where the cost function is the sum of two terms, one that is separable in the variable blocks, and a second that ...
Joint Distributions Associated with Compound Patterns in a Sequence of Markov Dependent Multistate Trials and Estimation Problems
Chen-Stein approximations Markov chain maximum likelihood estimate multistate trials non-overlap counting overlap counting parameter estimation patterns probability generating function runs
2009/3/5
Let Λi, 1 ≤ i ≤ l be simple patterns, i.e., finite sequences of outcomes from a set Γ = {b1, b2, ..., bm} and let Λ be a compound pattern (a set ofl distinct simple patterns). In this paper, we study ...
Using the Eigenvalue Relaxation for Binary Least-Squares Estimation Problems
Eigenvalue Relaxation Binary Least-Squares Estimation Problems
2010/3/18
The goal of this paper is to survey the properties of the eigenvalue relaxation for least squares binary problems. This relaxation is a convex program which is obtained as the Lagrangian dual of the o...