Results 191 to 200 of about 1,113,356 (231)

Non parametric hypothesis tests for comparing reliability functions

Communications in Statistics - Theory and Methods, 2017
ABSTRACTIn reliability and related disciplines, comparing reliability functions of two (or more) aging processes is a crucial step in the process of determining reliability and understanding an aging process. The aim of this paper is to propose a non parametric statistical methodology to compare two populations based on their mean residual life ...
C. Jayasinghe, P. Zeephongsekul
semanticscholar   +2 more sources

Non-parametric hypothesis testing procedures and applications to demand analysis

Journal of Econometrics, 1985
This paper proposes a hypothesis test that a (possibly vector-valued) regression function g lies in a particular family of functions \({\mathcal F}\), not necessarily a finite-dimensional parametric family, where \({\mathcal F}\) is a compact subset of an appropriate topological space of continuous functions.
Larry G. Epstein, Adonis Yatchew
semanticscholar   +2 more sources

Nonparametric Hypothesis Testing with Parametric Rates of Convergence

International Economic Review, 1991
Nonparametric estimators are frequently criticized for their poor performance in small samples. In this paper, the author considers using kernel methods for the estimation of the expected derivatives of a regression function. The proposed estimators are shown to be asymptotically normal and n-consistent.
Paul Rilstone
semanticscholar   +2 more sources

A parametric approach to kinship hypothesis testing using identity-by-descent parameters

Statistical Applications in Genetics and Molecular Biology, 2015
AbstractThere is a large number of applications where family relationships need to be determined from DNA data. In forensic science, competing ideas are in general verbally formulated as the two hypotheses of a test. For the most common paternity case, the null hypothesis states that the alleged father is the true father against the alternative ...
M. García-Magariños, T. Egeland, Ignacio López-de-Ullibarri, N. Hjort, A. Salas   +4 more
semanticscholar   +4 more sources

The fusion of parametric and non-parametric hypothesis tests

Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003
This paper considers the hypothesis testing problem when two sets of data having significantly different types of prior information are fused. The probability density function of the data in the first set is assumed to be known to within a finite set of parameters so that aparometric test can be used to test the hypothesis.
P. Singer
semanticscholar   +2 more sources

A Parametric Copula-Based Framework for Hypothesis Testing Using Heterogeneous Data

IEEE Transactions on Signal Processing, 2011
We present a parametric framework for the joint processing of heterogeneous data, specifically for a binary classification problem. Processing such a data set is not straightforward as heterogeneous data may not be commensurate. In addition, the signals may also exhibit statistical dependence due to overlapping fields of view. We propose a copula-based
Satish G. Iyengar, P. Varshney, T. Damarla   +2 more
semanticscholar   +2 more sources

On Parametric Hypothesis Testing with Non-Parametric Tests

Theory of Probability & Its Applications, 1970
Y. Tyurin
semanticscholar   +2 more sources

Inferential Statistics II: Parametric Hypothesis Testing

Statistics for Biomedical Engineers and Scientists, 2019
A. P. King, R. Eckersley
semanticscholar   +2 more sources

Reliability analysis and hypothesis testing of critical success factors of total productive maintenance

International Journal of Quality & Reliability Management, 2022
PurposeThis paper deals with concept of total productive maintenance (TPM) and its implementation approach. It also presents the identification of critical factors for effective implementation of TPM.
S. Kalpande, L. K. Toke
semanticscholar   +1 more source

Adaptive, Rate‐Optimal Hypothesis Testing in Nonparametric IV Models

Econometrica, 2020
We propose a new adaptive hypothesis test for inequality (e.g., monotonicity, convexity) and equality (e.g., parametric, semiparametric) restrictions on a structural function in a nonparametric instrumental variables (NPIV) model.
C. Breunig, Xiaohong Chen
semanticscholar   +1 more source