Mayank Kumar Jha

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mayank Kumar Jha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Fatih Kızılaslan
  2. Vivek S. Borkar
  3. Akram Kohansal
  4. Mustafa Nadar
  5. Maryam Basirat
  6. M. Eliwa

Papers from Mayank Kumar Jha's perspective

Ordered by how strongly the researchers Mayank Kumar Jha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Classical and Bayesian estimation of P(Y < X) for Kumaraswamy's distribution
  2. Comparison of Different Estimators of P [Y < X] for a Scaled Burr Type X Distribution
  3. Equation of State Calculations by Fast Computing Machines
  4. Classical and Bayesian estimation of reliability in a multicomponent stress–strength model based on a general class of inverse exponentiated distributions
  5. Estimation of reliability in a multicomponent stress–strength model based on a bivariate Kumaraswamy distribution (Statistical Papers)
  6. Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution
  7. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  8. The unit-inverse Gaussian distribution: A new alternative to two-parameter distributions on the unit interval (Communications in Statistics - Theory and Methods)
  9. Inverse Gompertz Distribution: Properties and Different Estimation Methods with Application to Complete and Censored Data
  10. On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample

Their papers