Fungsi Gauss: Perbedaan antara revisi

Konten dihapus Konten ditambahkan
k Bot: Perubahan kosmetika
InternetArchiveBot (bicara | kontrib)
Rescuing 3 sources and tagging 0 as dead.) #IABot (v2.0.9.5
 
(3 revisi perantara oleh 2 pengguna tidak ditampilkan)
Baris 6:
{{math|<var>a</var>}}, {{math|<var>b</var>}} dan {{math|<var>c</var>}} adalah konstanta riil.
 
Fungsi ini dinamai dari matematikawan [[Jerman]] [[Carl Friedrich Gauss]]. Fungsi Gauss seringkalisering kali digunakan untuk mewakili [[fungsi kepekatan probabilitas]] [[variabel acak]] yang [[distribusi normal|didistribusi secara normal]] dengan [[nilai harapan]] {{math|1=<var>μ</var>&nbsp;=&nbsp;<var>b</var>}} dan [[variansi]] {{math|1=<var>σ</var>{{sup|2}}&nbsp;=&nbsp;<var>c</var>{{sup|2}}}}. Dalam kasus ini, bentuk fungsi Gaussnya adalah:
 
:<math> g(x) = \frac{1}{\sigma\sqrt{2\pi}} e^{ -\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2 }. </math>
 
Grafik fungsi Gauss adalah kurva yang berbentuk "lonceng" dan simetris. Parameter {{math|<var>a</var>}} adalah tinggi puncak kurva, {{math|<var>b</var>}} adalah posisi di tengah puncak dan {{math|<var>c</var>}} ([[deviasi standar]]) mengendalikan "lebar" lonceng.
Baris 15:
 
== Pranala luar ==
* [http://mathworld.wolfram.com/GaussianFunction.html Mathworld, includes a proof for the relations between c and FWHM] {{Webarchive|url=https://web.archive.org/web/20181018185529/http://mathworld.wolfram.com/GaussianFunction.html |date=2018-10-18 }}
* [https://github.com/frecker/gaussian-distribution/ Haskell, Erlang and Perl implementation of Gaussian distribution] {{Webarchive|url=https://web.archive.org/web/20210914092454/https://github.com/frecker/gaussian-distribution/ |date=2021-09-14 }}
* [https://upload.wikimedia.org/wikipedia/commons/a/a2/Cumulative_function_n_dimensional_Gaussians_12.2013.pdf Bensimhoun Michael, ''N''-Dimensional Cumulative Function, And Other Useful Facts About Gaussians and Normal Densities (2009)] {{Webarchive|url=https://web.archive.org/web/20230403102103/http://upload.wikimedia.org/wikipedia/commons/a/a2/Cumulative_function_n_dimensional_Gaussians_12.2013.pdf |date=2023-04-03 }}
* [https://github.com/dwaithe/generalMacros/tree/master/gaussian_fitting Code for fitting Gaussians in ImageJ and Fiji.]
{{matematika-stub}}