Linear mixed-effects models are commonly used to analyze clustered data structures. There numerous packages fit these in R and conduct likelihood-based inference. The implementation of resampling-based procedures for inference more limited. In this paper, we introduce the lmeresampler package bootstrapping nested linear via lme4 or nlme. Bootstrap estimation allows bias correction, adjusted sta...

Few studies have considered the functional relationship model for circular variables. Anuar has proposed a new of Circular Simultaneous Functional Relationship Model equal variances. However, confidence interval all parameter estimates in this not received any consideration literature. This paper proposes von Mises distribution model. The parameters are estimated using minimum sum (ms) and poly...

In the present work, three methodologies for estimation of fatigue design P-S-N curves are compared. The approximate Owen with staircase method, a method based on likelihood ratio confidence interval, and an original bootstrap approach considered. Three experimental datasets employed validation, showing that methods permit to have reliable number data and, accordingly, test duration can be sign...

The general properties of two commonly-used methods of interval estimation for population parameters in physics are examined. Both of these methods employ the likelihood function: (i) Obtaining an interval by finding the points where the likelihood decreases from its maximum by some specified ratio; (ii) Obtaining an interval by finding points corresponding to some specified fraction of the tot...

We define an empirical likelihood approach which gives consistent design-based confidence intervals which can be calculated without the need of variance estimates, design effects, resampling, joint inclusion probabilities and linearization, even when the point estimator is not linear. It can be used to construct confidence intervals for a large class of sampling designs and estimators which are...

in order to capability investigation on landsat-7 satellite etm+ data in separability forest type and mapping in the zagros region, a small window digital data dating july 2001 from ghalajeh forests in the kermanshah province were analyzed. ground data were provided the cluster sampling method and with 0.36 ha. no radiometric error was found then the quality investigations. orthorectification w...

 The repeatability and reproducibility (R&R) study—also called a gauge capability study—has been employed as part of the statistical process control program in many organizations. The objective of the study is to determine whether a measurement procedure or instrument is adequate for monitoring the performance of a process. The classical control chart method can be easily performed and ...