Random variables - Globe Thesis

Keyword [Random variables] Result: 161 - 180 \| Page: 9 of 10
161.	Moderate Deviation Principle For M-dependent Random Variables
162.	Convergences And Uniform Integrability Of A Sequence Of Random Variables Under Sublinear Expectations
163.	Research On The Record Simulation Algorithm Of Beta Random Variables
164.	Extreme Value Theory Of Randomly Weighted Sums Of Independent Random Variables With Dominated Variation
165.	Some Probability Limit Properties Of ANA Random Variables
166.	Central Limit Theorem And Law Of Large Numbers For Dependent Sequence
167.	The Research Of Asymptotic Properties Of Parametric And Nonparametric Estimators For Regression Models With END Errors
168.	Strong Convergence Properties For ANA Random Variables
169.	L_r Convergence And Complete Convergence For AANA Random Variables And Its Application In Semiparametric Models
170.	Laws Of Large Numbers For Weighted Sums Of Random Variables With Infinite Mean
171.	Precise Asymptotics In The Complete Moment Convergence For ρ~- Mixing Random Variables Sequence And Linear Process Generated By ρ~- Mixing Random Variables Sequence
172.	Compactness In Lebesgue-bochner Spaces Of Random Variables And The Existence Of Mean-square Random Attractors
173.	Analysis Of Cucker-Smale Flocking Under Different Topology Structues
174.	The Strong Law Of Large Number And Complete Convergence Of Extended Negative Dependent Random Variables Under Sub-linear Expectations
175.	The Consistency For The Estimators Of Semi-parametric Regression Model For ρˉ Mixing Sequences
176.	Moderate Deviation Principle And Large Deviation Principle Of Order Statistics Based On M-Dependent Random Variables
177.	Probability Inequalities For Sums Of NSD Random Sequence And Applications
178.	The Study On Structural Reliability Algorithm Based On Random Variable Correlation And Failure Mode Correlation
179.	Multi-Stochastic Variable Programming Methods And Their Application In Economic Operation Optimization Of Microgrid
180.	Complete Convergence For Weighted Sums Of WNOD Random Variables And Its Application In Nonparametric Regression Models
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