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On the construction of bivariate linear exponential distribution with FGM family

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M. A. El-Damcese, Dina. A. Ramadan

Methodology · Submitted 22 Jan 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In this paper we propose a Farlie-Gumbel-Morgenstern (FGM) family of bivariate linear exponential distributions generated from given marginal's.

how it is stated · asserted 1.00 read the record →

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arXiv ID1501.05356 (version 1)
Pith IDNQS424HA, Pith's permanent record of this paper and its review
CitationDina. A. Ramadan, M. A. EL-Damcese. "On the construction of bivariate linear exponential distribution with FGM family." arXiv:1501.05356 (2015). https://pith.science/paper/NQS424HA
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What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.06 · human participants 0.02 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In this paper we propose a Farlie-Gumbel-Morgenstern (FGM) family of bivariate linear exponential distributions generated from given marginal's. Therefore, properties of FGM are analogous to properties of bivariate distributions. We study some important statistical properties and results for the new distribution.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this paper we propose a Farlie-Gumbel-Morgenstern (FGM) family of bivariate linear exponential distributions generated from given marginal's. contribution 1.00 0.93 0.30 asserted 1.00
s1 Therefore, properties of FGM are analogous to properties of bivariate distributions. interpretation 0.52 0.12 0.14 asserted 1.00
s2 We study some important statistical properties and results for the new distribution. contribution 1.00 0.91 0.14 asserted 0.94

What kind of paper the classifier reports this is: theoretical result 0.78 · evidence from proof or derivation 0.98.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In this paper we propose a Farlie-Gumbel-Morgenstern (FGM) family of bivariate linear exponential distributions generated from given marginal's. Therefore, properties of FGM are analogous to properties of bivariate distributions. We study some important statistical properties and results for the new distribution.

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