„random variable“

Suchergebnisse

1.790 Treffer

• Berry–Esseen Bound for a Sample Sum from a Finite Set of Independent Random Variables
  Zhao, L. C. ; Wu, C. Q. ; Wang, Q.
• A Strong Law for Mixing Random Variables
  Tuyen, Dao Quang
• Laws of Large Numbers for Weighted Sums of Independent Random Variables: A Game of Mass
  Avena, Luca ; Costa, Conrado da
• Free Random Variables Followed by the Semicircular Law
  Cho, Ilwoo
• Central Limit Theorems for Markov‐Connected Random Variables
  Liebscher, E.
• Continuation of Convergence for Distribution Functions of Sums of Weakly Dependent Random Variables
  Herrmann, H.
• Non‐Uniform Bounds for the Error in the Central Limit Theorem for Random Fields Generated by Functions of Independent Random Variables
  Heinrich, Lothar
• Simple and Accurate Approximations for the Sum of Nakagami-m and Related Random Variables
  Wille, Emilio Carlos Gomes
• On the asymptotic behaviour of the joint distribution of the maxima and minima of observations, when the sample size is a random variable
  Vasudeva, R.
• On Mukhin’s necessary and sufficient condition for the validity of the local limit theorem
  Weber, Michel J. G.
• Non-commutative Khinchine-type inequality for dependent random variables and overview of its applications in data science
  Spektor, Susanna
• Variable Performance of Lupus Anticoagulant Testing: The Australasian/Asia-Pacific Experience
  Favaloro, Emmanuel J. ; Dean, Elysse ; Arunachalam, Sandya
• The Distribution Function of the Maximum of $$\boldsymbol{n}$$ Random Variables and Its Application in Communication Theory
  Brychkov, Yu. A. ; Savischenko, N. V.
• Factorial Surveys with Multiple Ratings per Vignette: A Seemingly Unrelated Multilevel Regressions Framework
  Schmidt-Catran, Alexander W.
• On the Probabilities of Large Deviations of Combinatorial Sums of Independent Random Variables That Satisfy the Linnik Condition
  Frolov, A. N.
• Strong Laws and Summability for φ-Mixing Sequences of Random Variables
  Kiesel, Rüdiger
• Classification of Measurable Functions of Several Variables and Invariantly Distributed Random Matrices
  Vershik, A. M.
• The Convergence Rate to the Normal Law of a Certain Variable Defined on Random Polynomials
  Zacharovas, V.
• On the Baum–Katz theorem for randomly weighted sums of negatively associated random variables with general normalizing sequences and applications in some random design regression models
  Ta Cong, Son ; Tran Manh, Cuong ; Bui Khanh, Hang ; Le Van, Dung
• Tests of Independence and Zero Correlations Among P Random Variables
  Wilcox, Rand R.