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Since the asymptotic distribution of change-point statistics for time-series depends on this value, having a good estimator under the null as well as alternatives is essential for testing problems. ... A simulation study shows that we obtain better intervals by studentizing. When studentizing dependent data, we need to use flat-top kernels for the estimation of the asymptotic variance. ... Acknowledgement The authors would like to thank D. Politis (University of California, San Diego) for bringing the relevant papers to our attention. ...doi:10.1007/s00180-009-0175-7 fatcat:zjmrxph2cnduneyay36pmlxdke
As literature has reported, it is usual that university students in statistics courses, and even statistics teachers, interpret the confidence level associated with a confidence interval as the probability ... events and the rule of monotonicity (P Afterwards, we use simulation to help students shift to a frequentist interpretation of confidence intervals. ... For the next sample* of twenty students' IQs, construct a 90% confidence interval for the population mean. ...doi:10.13189/ujer.2016.041201 fatcat:norki573vjabjh5m2bruh4yhri
A change statistics model summary ( ) of 0.100 which means that the Mathematics performance as a predictor in the year one account for only 10% of the variance in the year one Cumulative Grade Point Average ... A change statistics ( ) of 0.100 which means that the Mathematics performance as a predictor in the year one account for only 10% of the variance in the year one Cumulative Grade Point Average (CGPA) which ...doi:10.24940/ijird/2020/v9/i2/feb20030 fatcat:23zpbrwptzgenigjaubvqnrnxu
We tested the consistency using the Student test and confidence intervals. We splited the data sets in to smaller intervals and grouped them acording to redshift and angular position. ... Results show consistency for the reduced intervals for each pair of data sets and suggests that the variation in \alpha is significant at higher redshifts. ... Support for this work was provided by PIP 0152/10 CONICET. The authors are grateful to Raghunathan Srianand for providing enlarged errors of the VLT data. ...doi:10.1051/0004-6361/201321803 fatcat:kyhb7ul7ancpxlfrfimies7zmu
T -test and confidence interval. ... This paper presents a hands-on activity that is designed to help students in an introductory statistics course draw informal inferences about a bag of bingo chips and connect these ideas to the formal ... The students describe the meaning of the margin of error, investigate how changing the sample size, sample variance, or confidence level affects the interval, 1 It is essential to have enough data points ...doi:10.1080/10691898.2010.11889494 fatcat:lm5kpvk6djgblhecfywursna2a
BMC Research Notes
', BMC research notes., 5 . p. 571. Further information on publisher's website: http://dx. ... provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in ... Acknowledgements The authors would like to thank Alison O'Mara-Eves for her helpful feedback on this short paper, for the helpful input from our peer reviewers, and for the comments and suggestions made ...doi:10.1186/1756-0500-5-571 pmid:23078762 pmcid:PMC3532381 fatcat:jillzjrggzbr3kf36zgzzd7yim
Average lengths of confidence intervals are competitive with those of recent Studentized confidence intervals based on the biweight over a range of underlying distributions. ... The resulting statistics have high efficiency at the normal model, proper coverage for confidence intervals, yet retain break- down point one half. ...
Confidence Intervals The Confidence Interval Module is designed to show the difference between two confidence intervals for the mean: the one based on the normal curve, and the one based on the tdistribution ... It was especially important for students to note that more than one trait was being affected by the randomization process. ...doi:10.5070/t561012656 fatcat:g3z3sdgitbezdifj25vsxvjb7a
The confidence intervals from bootstrapping allow part of the uncertainty of point estimates stemming from sample variation to be revealed. ... However, when comparing with growth in labour input the impact on productivity vary a lot. ... A few quite small units have rather wide confidence intervals for all the panels. ...doi:10.1057/s41274-017-0183-x fatcat:wgwx4zljiffuvcrv3hw5ncpmkq
The CIBER approach was used to estimate the relevance of determinants by calculating and visualizing confidence intervals for the means and correlation coefficients for intention to use cannabis as well ... Aims: The Confidence Interval-Based Estimation of Relevance (CIBER) approach was used to assess the most relevant psychosocial determinants of both the intention to use cannabis and the intention to reduce ... Decisions in the CIBER approach are based on the confidence intervals for the means and correlation coefficients. ...doi:10.5334/hpb.18 fatcat:gvukyu2dsrb7pisunppox2izti
At the introduction of hypothesis testing and confidence intervals, one class section (A) was given graphing calculators capable of inferential statistics to use for a few weeks. ... The students were allowed to use the inferential calculators on only the examination covering hypothesis tests and confidence intervals and on the final examination. ... ACKNOWLEDGEMENTS This research was completed at the University of Texas at San Antonio. ...doi:10.52041/serj.v4i1.522 fatcat:ji76a673ovhdxesuw2nby32quq
There are two points to note from Table 1 . ... Confidence intervals and the ADK 15 Note, confidence intervals for the Dieckmann et al., 1988 data set are not show for item 7, as there was no variation in responses to this item (all respondents ...doi:10.1080/1360786031000101139 pmid:12775397 fatcat:botnlbo4gvbyrmhethulgucmbi
A trivial way of computing a confidence band is to compute confidence intervals for K covariate values, each having probability coverage 1 − α. ... When using the LOWESS estimator, an extant method that assumes homoscedasticity can be used to compute a confidence interval for M(Y|X = x). ... The method for adjusting the confidence intervals has certain similarities to using a Studentized maximum modulus distribution, but it differs in ways that will be fairly evident. ...doi:10.22237/jmasm/1509494580 fatcat:2vlmj4mpkrdvtmidmcxyf6q7vy
features to a model of user, or student, state. ... In this work, we step back the focus from the complete evaluation of a dialogue system to presenting metrics for evaluating one internal component of a dialogue system: its dialogue manager. ... Acknowledgements We would first like to thank Dan Bohus who was instrumental in the development of the Confidence Interval Methodology. ...doi:10.1016/j.specom.2008.05.002 fatcat:6lyenax2hrdfbhhgndi6fzmvle
Behavior Research Methods
In¬ stead, the confidence interval for this high school depends on the number of unsampled students. ... At the extreme, if the school had 41 students, a 95% confidence interval would be approximately 2.50 ± .04 because 40 of the grade point averages are known and the remaining stu¬ dent is 95% probable to ...
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