The following pages link to Statistical inference in science (Q1577554):
Displaying 31 items.
- Prediction of future observations using belief functions: a likelihood-based approach (Q274435) (← links)
- Likelihood decision functions (Q391837) (← links)
- Equivariance and generalized inference in two-sample location-scale families (Q642440) (← links)
- Automatic dimensionality selection from the scree plot via the use of profile likelihood (Q1010434) (← links)
- On a criticism of the profile likelihood function (Q1019439) (← links)
- A new family of life distributions for dependent data: estimation (Q1020695) (← links)
- Exact statistical methods for data analysis. (Q1417477) (← links)
- Estimating the basic reproductive number during the early stages of an emerging epidemic (Q1746130) (← links)
- Statistical inference for extinction rates based on last sightings (Q1790799) (← links)
- The simplicity of likelihood based inferences for \(P(X<Y)\) and for the ratio of means in the exponential model (Q1956338) (← links)
- The sufficiency of the evidence, the relevancy of the evidence, and quantifying both with a single number (Q2066702) (← links)
- A measure of evidence based on the likelihood-ratio statistics (Q2110348) (← links)
- Estimation of the reliability parameter for three-parameter Weibull models (Q2307243) (← links)
- A classical measure of evidence for general null hypotheses (Q2351457) (← links)
- A frequentist framework of inductive reasoning (Q2392499) (← links)
- Likelihood-based belief function: justification and some extensions to low-quality data (Q2509601) (← links)
- Parameter identifiability and model selection for sigmoid population growth models (Q2670140) (← links)
- Statistical Inference from Ill-known Data Using Belief Functions (Q2950556) (← links)
- The Gompertz-Makeham longevity model (Q3387495) (← links)
- Regeneration-based statistics for Harris recurrent Markov chains (Q3416883) (← links)
- Robust Inference in Conditionally Linear Nonlinear Regression Models (Q3608258) (← links)
- Statistical methods, experimental design and scientific inference. A re-issue of `Statistical methods for research workers', `The design of experiments', and `Statistical methods and scientific inference'. Ed. by J. H. Bennett. With a foreword by F. Yates (Q3999151) (← links)
- Bayesian revision of a prior given prior-data conflict, expert opinion, or a similar insight: a large-deviation approach (Q4567918) (← links)
- A non-Bayesian predictive approach for statistical calibration (Q4912034) (← links)
- Dealing with discreteness: making `exact’ confidence intervals for proportions, differences of proportions, and odds ratios more exact (Q5424169) (← links)
- Simple Estimation Intervals for Poisson, Exponential, and Inverse Gaussian Means Obtained by Symmetrizing the Likelihood Function (Q5884433) (← links)
- The confidence density for correlation (Q6133734) (← links)
- Comparison of some interval estimation methods for the parameters of the gamma distribution (Q6172601) (← links)
- Uncertainty quantification in logistic regression using random fuzzy sets and belief functions (Q6548469) (← links)
- Prediction of electricity prices for non-regulated markets based on a power transformed mean reverting process (Q6580731) (← links)
- On near-redundancy and identifiability of parametric hazard regression models under censoring (Q6595110) (← links)
