2018
DOI: 10.1201/9781351072304
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Graphical Methods for Data Analysis

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Cited by 420 publications
(397 citation statements)
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“…The locally weighted scatterplot smoothing (Lowess) technique was used to describe the relationship between age and 10-year risk of hip fracture for men and women. This technique is designed to produce a smooth fit to the data that also reduces the influence of extreme outliers 32. Analyses were conducted stratifying by sex because it was expected that hip fracture risk, evaluation and management of osteoporosis would vary by sex.…”
Section: Methodsmentioning
confidence: 99%
“…The locally weighted scatterplot smoothing (Lowess) technique was used to describe the relationship between age and 10-year risk of hip fracture for men and women. This technique is designed to produce a smooth fit to the data that also reduces the influence of extreme outliers 32. Analyses were conducted stratifying by sex because it was expected that hip fracture risk, evaluation and management of osteoporosis would vary by sex.…”
Section: Methodsmentioning
confidence: 99%
“…Deviations from a straight line indicate departures from normality. If the left end of pattern is below the line, and the right end of pattern is above the line, it indicates long tails at both ends of the data distribution (Chambers et al 1983). As shown in Figure 11, the probability plot of modal frequency for Haenam deck in the middle part follows the line, but shows an s-shape deviation at the ends, which means the variance of data is higher than anticipated for a normal distribution.…”
Section: Statiscal Analysis Of Modal Propertiesmentioning
confidence: 99%
“…However, we feel that the commonly used approaches, e.g., correlation coefficients, only provide one single value indicating the difference, which fails to answer how they differ from each other. In our approach, in addition to the traditional difference values, we use the Q-Q plot [35], to capture the details. Quantiles are points taken at regular intervals from the cumulative density function (CDF) of a random variable.…”
Section: Comparing Regions and Propertiesmentioning
confidence: 99%