LIKELIHOOD FUNCTION MEANING IN HINDI - EXACT MATCHES

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LIKELIHOOD FUNCTION = संभाविता फलन
Usage : The likelihood function is used to estimate the parameters of the statistical model.
उदाहरण : संभाविता फलन एक निश्चित मॉडल के दिए गए डेटा सेट को देखने की संभावना को मापती है।
[pr.{sanabhavita phalan} ] (Noun) 0
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LIKELIHOOD FUNCTION = संभाव्यता फलन
उदाहरण : संभाव्यता फलन का उपयोग सांख्यिकी में किया जाता है ताकि दी गई डेटा सेट के देखने की संभावना को मापा जा सके।
[pr.{sanabhavyata phalan} ] (Noun) 0
LIKELIHOOD FUNCTION = संभावितफलन
उदाहरण : संभावित फलन प्रयोग किया जाता है आंकड़े का मॉडल की पैरामीटर की अनुमानित करने के लिए।
[pr.{sanabhavitaphalan} ] (Noun) 0

Definition of Likelihood function

  • Likelihood function is a statistical term used to describe the probability of observing data given a specific set of parameters in a statistical model. It is used to estimate the parameters that maximize the likelihood of the observed data.

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Information provided about likelihood function:


Likelihood function meaning in Hindi : Get meaning and translation of Likelihood function in Hindi language with grammar,antonyms,synonyms and sentence usages by ShabdKhoj. Know answer of question : what is meaning of Likelihood function in Hindi? Likelihood function ka matalab hindi me kya hai (Likelihood function का हिंदी में मतलब ). Likelihood function meaning in Hindi (हिन्दी मे मीनिंग ) is संभाविता फलन.English definition of Likelihood function : Likelihood function is a statistical term used to describe the probability of observing data given a specific set of parameters in a statistical model. It is used to estimate the parameters that maximize the likelihood of the observed data.

Tags: Hindi meaning of likelihood function, likelihood function meaning in hindi, likelihood function ka matalab hindi me, likelihood function translation and definition in Hindi language by ShabdKhoj (From HinKhoj Group).likelihood function का मतलब (मीनिंग) हिंदी में जाने |

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Meaning Summary

Likelihood function Meanings: संभाविता फलन, संभाव्यता फलन, संभावितफलन