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Article
Both clonidine and metoprolol modify anesthetic depth indicators and reduce intraoperative propofol requirement
Beta-blockers have been used in the past to decrease the depth of anesthesia, but the results are conflicting. However, beta-blockers are known to suppress electroencephalographic activities. This study was ca...
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Article
Hyperekplexia Masquerading as Epilepsy
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Article
Profile of infections and outcome in high-risk febrile neutropenia: experience from a tertiary care cancer center in India
Objective of the present study was to describe the profile of infections in febrile neutropenia (FN) in acute leukemia and hematopoietic stem cell transplant (HSCT) with emphasis on response to therapy and out...
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Article
Open AccessThe Kumaraswamy-Half-Cauchy distribution: properties and applications
In this article, based on the half-Cauchy distribution, we propose a new distribution called Kumaraswamy-Half-Cauchy distribution. Various explicit expressions for it’s moments, generating and quantile functio...
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Article
Open AccessOn the Weibull-X family of distributions
In this paper, the Weibull-X family is proposed and some of its properties are discussed. A member of the Weibull-X family, the Weibull-logistic distribution, is defined and studied. Various properties of the ...
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Article
Open AccessCharacterizations of Distributions Via Conditional Expectation of Function of Generalized Order Statistics
Characterizations of probability distributions by different regression conditions on generalized order statistics have attracted the attention of many researchers. We present here, characterization of distribu...
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Article
Open AccessThe generalized Cauchy family of distributions with applications
A family of generalized Cauchy distributions, T-Cauchy{Y} family, is proposed using the T-R{Y} framework. The family of distributions is generated using the quantile functions of uniform, exponential, log-logisti...
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Article
Some alternative bivariate Kumaraswamy-type distributions via copula with application in risk management
In this article we discuss various strategies for constructing bivariate Kumaraswamy distributions via the copula approach. The copula methods and construction studied here are different from those briefly dis...
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Chapter and Conference Paper
Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet Transformation and Machine Learning: A Study in Asian Context
Proper understanding of dynamics of equity markets in long run and short run is extremely critical for investors, speculators and arbitrageurs. It is essential to delve into causal interrelationships among di...
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Article
The Gompertz-G family of distributions
We introduce and study some general mathematical properties of a new generator of continuous distributions with two extra parameters called the Gompertz-G generator. We present some special models. We investig...
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Article
Odd Log-Logistic Modified Weibull Distribution
We introduce and study a new distribution called the odd log-logistic modified Weibull (OLLMW) distribution. Various of its structural properties are obtained in terms of Meijer’s G-function, such as the moments,...
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Article
Characterization of Bivariate Generalized Logistic Family of Distributions Through Conditional Specification
The univariate logistic distribution and its properties and applications have been studied quite extensively in the literature. Some generalizations as well as multivariate extensions of it have also been prop...
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Article
Evidence-Based Management to Optimize Oncological Outcome: the Need of the Hour!
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Chapter and Conference Paper
An Integrated Approach Incorporating Nonlinear Dynamics and Machine Learning for Predictive Analytics and Delving Causal Interaction
Development of predictive modeling framework for observational data, exhibiting nonlinear and random characteristics, is a challenging task. In this study, a neoteric framework comprising tools of nonlinear dy...
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Article
On the Ristic—Balakrishnan distribution: Bivariate extension and characterizations
Over the last few decades, a significant development has been made toward the augmentation of some well-known lifetime distributions by various strategies. These newly developed models have enjoyed a considera...
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Article
Open AccessA note on Sum, Difference, Product and Ratio of Kumaraswamy Random Variables
Explicit expressions for the densities of S = X1 + X2, D = X1 −X2, P = X1X2 and R = X1/X2 are derived when X1 and X2 are independent or sub-independent Kumaraswamy random variables. The expressions appear to invo...
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Article
A complete characterization of bivariate densities using the conditional percentile function
It is well known that joint bivariate densities cannot always be characterized by the corresponding two conditional densities. Hence, additional requirements have to be imposed. In the form of a conjecture, Ar...
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Article
Fractal Inspection and Machine Learning-Based Predictive Modelling Framework for Financial Markets
This paper presents a novel framework to conduct empirical investigation and carry out predictive modelling on daily index prices of Bombay stock exchange, Dow Jones Industrial Average, Hang Seng Index, NIFTY ...
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Article
On Some Further Properties and Application of Weibull-R Family of Distributions
In this paper, we provide some new results for the Weibull-R family of distributions (Alzaghal et al. in Int J Stat Probab 5:139–149, 2016). We derive some new structural properties of the Weibull-R family of dis...
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Chapter
Neuro-Oncology Emergencies Induced by Chemotherapy
The central nervous system (CNS) and peripheral nervous system (PNS) are the frequent site of toxicity of chemotherapeutic agents [1]. The toxicity could manifest itself in a myriad of ways. This toxicity can ...
