Webfit as a fiddle. husky. in excellent shape. in good health. in tip-top condition. right. sane. stout. strapping. trim. fit as a flea. in the pink. full of vim. right as rain. ... “An almost obsessive trainer, the father of three should be in peak condition for the event and the route should suit his all-round abilities. ... Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints. Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a "smooth" function is constructed that approximately fits the data. A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve tha…
Why have I got broadened peaks for my XRD graph?
WebPeak definition, the pointed top of a mountain or ridge. See more. WebJan 16, 2024 · Summary: Peak, Peek, or Pique? “Peak,” “peek,” and “pique” sound the same, but each has its own meaning: A peak is the highest point of something. To peek is usually to take a quick or furtive look at something. Pique can mean “irritation” or “arouse interest.”. It is most commonly used in phrases such as “a fit of pique ... dell inspiron 2 in 1 14 inch battery life
PEAK definition in the Cambridge English Dictionary
Webfit: [adjective] adapted to an end or design : suitable by nature or by art. adapted to the environment so as to be capable of surviving. acceptable from a particular viewpoint (as of competence or morality) : proper. WebThe theoretical area under these Gaussians is all the same: 1.0645* Height*Width = 1*3*1.0645= 3.1938. A perfect area-measuring algorithm would return this number for all five peaks. As the broadening is increased from left to right, the peak height decreases (by about 35%) and peak width increases (by about 32%). The following are examples that arise in the context of categorical data. Pearson's chi-square test uses a measure of goodness of fit which is the sum of differences between observed and expected outcome frequencies (that is, counts of observations), each squared and divided by the expectation: • Oi = an observed count for bin i fertially