Results 61 to 70 of about 3,075,106 (208)

Lacunary statistical convergence of rough triple sequence via ideals

open access: yes, 2023
In this paper, we have introduced the notion of the lacunary I-statistical convergence of triple sequences for rough variables. In addition, we have defined lacunary I-statistical Cauchy sequence of rough variables in trust space and given the lacunary I-
Ekrem Savaş   +5 more
core   +1 more source

Directed-Completeness of Quantum Statistical Experiments in the Randomization Order [PDF]

open access: yesOpen Systems & Information Dynamics, 2020
A parametrized family of normal states on a von Neumann algebra is called a statistical experiment, which generalizes the corresponding concepts in classical statistics and finite-dimensional quantum systems. We introduce randomization preorder and equivalence relations for statistical experiments with a fixed parameter set and for normal channels ...
openaire   +3 more sources

Geometry of tangent and cotangent bundles on statistical manifolds

open access: yes, 2019
This note surveys some results on the geometric structure on the tangent bundle and cotangent bundle of statistical manifolds. We also study the completeness of the tangent bundle with respect to the Sasaki metrics induced from the statistical ...
Puechmorel, Stéphane, Tô, Tat Dat
core   +3 more sources

On the Completeness of Minimal Sufficient Statistics with Censored Observations

open access: yesThe Annals of Statistics, 1977
Abstract : The property of completeness, for the minimal sufficient statistics, is investigated in the context of life testing when the set of observations is censored at a fixed time or at a fixed order statistic. Nonparametric families are shown to retain completeness for the observed order statistics and some implications regarding unbiased ...
Bhattacharyya, G. K.   +2 more
openaire   +3 more sources

On generalized statistical convergence in random 2-normed space [PDF]

open access: yes, 2012
In this paper, we shall define and study the concept of ? -statistical convergence and ? -statistical Cauchy in random 2-normed space. We also introduce the concept of ? -statistical completeness which would provide a more general frame work to study the
Savaş, Ekrem
core  

Fibonacci Lacunary Statistical Convergence In Intuitionistic Fuzzy Normed Linear Spaces [PDF]

open access: yes, 2020
We investigate the concept of Fibonacci lacunary statistical convergence in intuitionistic fuzzy normed linear spaces. We also introduce here a new concept, that is, Fibonacci lacunary statistical completeness and show that every intuitionistic fuzzy ...
Tuzcuoğlu, Ibrahim, Kişi, Ömer
core   +2 more sources

Types of Data, Methods of Collection, Handling and Distribution

open access: yesAirway, 2019
Statistics is assumed to be a tough nut to crack by novices and young researchers mainly because of the lack of understanding of the fundamentals. This article describes the types of data and the methods for compiling the raw data in an orderly fashion ...
Umesh Goneppanavar   +3 more
doaj   +1 more source

On paracompactness, completeness and boundedness in uniform spaces

open access: yes, 2016
Recently two new types of completeness in metric spaces, called Bourbaki-completeness and cofinal Bourbaki-completeness, have been introduced in [7]. The purpose of this note is to analyze these completeness properties in the general context of uniform ...
Meroño Moreno, Ana Soledad   +1 more
core   +1 more source

STATISTICAL CONVERGENCE OF DOUBLE SEQUENCES IN NEUTROSOPHIC 2-NORMED SPACES

open access: yesUral Mathematical Journal
In this paper, we have studied the notion of statistical convergence for double sequences in neutrosophic 2-normed spaces. Also, we have defined statistically Cauchy double sequences and statistically completeness for double sequences and investigated ...
Rahul Mondal, Nesar Hossain
doaj   +1 more source

Nonparametric identification using instrumental variables: sufficient conditions for completeness [PDF]

open access: yes
This paper provides sufficient conditions for the nonparametric identification of the regression function m(.) in a regression model with an endogenous regressor x and an instrumental variable z.
Yingyao Hu, Ji-Liang Shiu
core  

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