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[PDF] Top 20 On the bootstrap and confidence intervals

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On the bootstrap and confidence intervals

On the bootstrap and confidence intervals

... d confidence in terv al co n stru ctio n ...for confidence intervals, or bias for p o in t e stim atio n ...in confidence intervals it p ro d u ces th e techniques of H all (1986a) a n ... See full document

195

Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator

Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator

... classical bootstrap is not directly applicable if the data are not stored in ...online bootstrap procedure for the estimation of confidence intervals, which, upon the arrival of each ... See full document

21

Bootstrap confidence intervals for predicted rainfall quantiles

Bootstrap confidence intervals for predicted rainfall quantiles

... add bootstrap confidence intervals to the rainfall prob- ability charts (introduced by Stone and Auliciems (1992)) commonly used to show the effects of the SOI phases on rainfall ...1992). ... See full document

19

Quantifying uncertainty on sediment loads using bootstrap confidence intervals

Quantifying uncertainty on sediment loads using bootstrap confidence intervals

... A bootstrap method is then developed that accounts for the uncertainty in the concentration and discharge predictions, allowing temporal correlation in the constituent data, and can be used when data ... See full document

18

Bootstrapping Structural VARs: Avoiding a Potential Bias in Confidence Intervals for Impulse Response Functions

Bootstrapping Structural VARs: Avoiding a Potential Bias in Confidence Intervals for Impulse Response Functions

... biased bootstrap confidence ...asymmetric confidence intervals which are, in part, a consequence of the bias; the DF-adjusted confidence intervals exhibit much less ...adjusted ... See full document

28

Double bootstrap confidence intervals in the two stage DEA approach

Double bootstrap confidence intervals in the two stage DEA approach

... four bootstrap confidence interval estimates, but according to the simulation results, our preferred method for conducting hypothesis tests is the double bootstrap confidence ... See full document

29

Bootstrap Confidence Intervals of the Difference between Two Process Capability Indices for Half Logistic Distribution

Bootstrap Confidence Intervals of the Difference between Two Process Capability Indices for Half Logistic Distribution

... The bootstrap is a computer-based and resampling method for assigning measures of accuracy to statistical estimates (Efron and Tibshirani, ...of bootstrap methods for constructing confidence ... See full document

16

Poor Performance of Bootstrap Confidence Intervals for the Location of a Quantitative Trait Locus

Poor Performance of Bootstrap Confidence Intervals for the Location of a Quantitative Trait Locus

... weight). Confidence intervals for the locations of QTL are particularly important for the design of further experiments to identify the gene or genes responsible for the ...support intervals are the ... See full document

9

Bootstrap Confidence Intervals for Proportions of Unequal Sized Groups Adjusted for Overdispersion

Bootstrap Confidence Intervals for Proportions of Unequal Sized Groups Adjusted for Overdispersion

... accurate confidence intervals ...accurate Bootstrap confidence intervals (CIs) for the proportion of defective or positive units in ...sizes. Bootstrap resampling was applied on ... See full document

9

On Bootstrap Confidence Intervals Associated with Nonparametric Regression Estimators for A Finite Population Total

On Bootstrap Confidence Intervals Associated with Nonparametric Regression Estimators for A Finite Population Total

... setting confidence intervals for a single parameter in a multiparameter ...approximate intervals rely on maximum likelihood theory was thought to be ...The bootstrap confidence ... See full document

6

Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores

Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores

... The purpose of the present study was to extend caliper matching to a new matching technique, interval matching, by using unit-specific bootstrap confidence intervals (CIs) [5] for gauging the ... See full document

9

Clinical Decision Making of Nurses Regarding Elder Abuse

Clinical Decision Making of Nurses Regarding Elder Abuse

... Seven confidence intervals for the partial AUC based on the semi-parametric models are developed by using the normal approximation, bootstrap and empirical likelihood ... See full document

50

GENERALISED MODEL BASED CONFIDENCE INTERVALS IN TWO STAGE CLUSTER SAMPLING

GENERALISED MODEL BASED CONFIDENCE INTERVALS IN TWO STAGE CLUSTER SAMPLING

... the bootstrap method to develop model based confidence intervals to address situations where the sample sizes are not ...the bootstrap approach as opposed to their competing ...sounder ... See full document

15

Predictors of Treatment Adherence in Adolescents with Inflammatory Bowel Disease: The Role of Age, Body Satisfaction and Prospective Memory in Medication and Diet Behavior

Predictors of Treatment Adherence in Adolescents with Inflammatory Bowel Disease: The Role of Age, Body Satisfaction and Prospective Memory in Medication and Diet Behavior

... proposed bootstrap and empirical likelihood (EL) approach for inference of the difference between two partial ...based confidence intervals for the ... See full document

49

The use of bootstrap methods for analysing health-related quality of life outcomes (particularly the SF-36)

The use of bootstrap methods for analysing health-related quality of life outcomes (particularly the SF-36)

... new bootstrap values for the outcome ...new bootstrap regression coefficients, for this bootstrap ...and confidence intervals for the regression coefficients from the bootstrap ... See full document

20

A Wild Bootstrap approach for the selection of biomarkers in early diagnostic trials

A Wild Bootstrap approach for the selection of biomarkers in early diagnostic trials

... simultaneous confidence intervals from single- step procedures which are compatible with the results obtained by hypotheses ...simultaneous confidence intervals, which correspond to multiple ... See full document

13

Measuring Financial Risk using Extreme Value Theory: evidence from Pakistan

Measuring Financial Risk using Extreme Value Theory: evidence from Pakistan

... Instead, we will use a likelihood-based method to compute confidence limits. This method often produces more accurate results than one based on the estimated covariance matrix of the parameter estimates. The ... See full document

11

Inferences of Coordinates in Multidimensional Scaling by a Bootstrapping Procedure in R

Inferences of Coordinates in Multidimensional Scaling by a Bootstrapping Procedure in R

... The bootstrap method produces the empirical distribution of the coordinates, which allows its inference such as estimation of standard errors and empirical confidence intervals for the MDS ... See full document

5

Analysis of Exponential Distribution Under Adaptive Type-I Progressive Hybrid Censored Competing Risks Data

Analysis of Exponential Distribution Under Adaptive Type-I Progressive Hybrid Censored Competing Risks Data

... asymptotic confidence intervals, the Bayes credible intervals and two parametric bootstrap confidence intervals are also ... See full document

17

Variation in incidence and severity of injuries among crown-of-thorns starfish (Acanthaster cf. solaris) on Australia's Great Barrier Reef

Variation in incidence and severity of injuries among crown-of-thorns starfish (Acanthaster cf. solaris) on Australia's Great Barrier Reef

... Relationship with confidence intervals CI generated parametricarm bootstrap damageincidence; injury incidence; binaryasdata, as measured by the median observer on an average reef; b inju[r] ... See full document

13

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