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Google Keyword Rankings for : newton method mle
1
https://towardsdatascience.com/calculate-maximum-likelihood-estimator-with-newton-raphson-method-using-r-7d3f69fbf8fe
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https://towardsdatascience.com/calculate-maximum-likelihood-estimator-with-newton-raphson-method-using-r-7d3f69fbf8fe
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2
https://bookdown.org/rdpeng/advstatcomp/newtons-method.html
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https://bookdown.org/rdpeng/advstatcomp/newtons-method.html
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3
https://www.jorgelopezperez.com/posts/maximum-likelihood-estimation-and-the-newton-raphson-method/
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https://www.jorgelopezperez.com/posts/maximum-likelihood-estimation-and-the-newton-raphson-method/
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4
http://galton.uchicago.edu/~eichler/stat24600/Handouts/l02.pdf
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http://galton.uchicago.edu/~eichler/stat24600/Handouts/l02.pdf
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5
https://www.utstat.toronto.edu/keith/papers/cauchymle.pdf
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https://www.utstat.toronto.edu/keith/papers/cauchymle.pdf
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6
https://www.stat.washington.edu/adobra/classes/536/Files/week1/newtonfull.pdf
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https://www.stat.washington.edu/adobra/classes/536/Files/week1/newtonfull.pdf
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7
https://journals.sagepub.com/doi/10.1177/0962280219853602
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https://journals.sagepub.com/doi/10.1177/0962280219853602
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8
https://canvas.harvard.edu/files/350816/download?download_frd=1&verifier=Jlwvto2cvU9DHcN6DKYKWJ1rXeCVZrQNTdhGJMKP
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https://canvas.harvard.edu/files/350816/download?download_frd=1&verifier=Jlwvto2cvU9DHcN6DKYKWJ1rXeCVZrQNTdhGJMKP
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9
https://www.mathematik.uni-marburg.de/~alexandrovich/newton.pdf
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https://www.mathematik.uni-marburg.de/~alexandrovich/newton.pdf
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10
http://www.diva-portal.org/smash/get/diva2:877583/FULLTEXT01
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http://www.diva-portal.org/smash/get/diva2:877583/FULLTEXT01
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11
https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119202219.app3
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https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119202219.app3
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12
https://academic.udayton.edu/epumd/2004/Pete.pdf
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https://academic.udayton.edu/epumd/2004/Pete.pdf
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13
https://stats.stackexchange.com/questions/443509/newton-raphson-method-to-solve-for-dof-when-performing-mle-of-a-multivariate-stu
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https://stats.stackexchange.com/questions/443509/newton-raphson-method-to-solve-for-dof-when-performing-mle-of-a-multivariate-stu
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14
https://link.springer.com/article/10.1007/BF02290176
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https://link.springer.com/article/10.1007/BF02290176
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15
https://sakai.unc.edu/access/content/group/3d1eb92e-7848-4f55-90c3-7c72a54e7e43/public/docs/lectures/lecture12.htm
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https://sakai.unc.edu/access/content/group/3d1eb92e-7848-4f55-90c3-7c72a54e7e43/public/docs/lectures/lecture12.htm
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16
https://www.ewi-psy.fu-berlin.de/einrichtungen/arbeitsbereiche/computational_cogni_neurosc/teaching/Statistics_for_Data_Science_19_201/6_Foundations_and_maximum_likelihood.pdf
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https://www.ewi-psy.fu-berlin.de/einrichtungen/arbeitsbereiche/computational_cogni_neurosc/teaching/Statistics_for_Data_Science_19_201/6_Foundations_and_maximum_likelihood.pdf
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17
https://www.youtube.com/watch?v=0S7v-gw699c
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https://www.youtube.com/watch?v=0S7v-gw699c
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18
https://dept.stat.lsa.umich.edu/~jasoneg/Stat406/lab11.pdf
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https://dept.stat.lsa.umich.edu/~jasoneg/Stat406/lab11.pdf
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19
https://www.stat.cmu.edu/~arinaldo/Fienberg_Rinaldo_Supplementary_Material.pdf
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https://www.stat.cmu.edu/~arinaldo/Fienberg_Rinaldo_Supplementary_Material.pdf
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20
https://richardson.byu.edu/624/l12/newton-raphson.pdf
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https://richardson.byu.edu/624/l12/newton-raphson.pdf
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21
https://r-forge.r-project.org/scm/viewvc.php/*checkout*/paper/CompStat/maxLik.pdf?revision=1114&root=maxlik&pathrev=1114
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https://r-forge.r-project.org/scm/viewvc.php/*checkout*/paper/CompStat/maxLik.pdf?revision=1114&root=maxlik&pathrev=1114
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22
https://www.journalijar.com/article/21862/maximum-likelihood-based-on-newton-raphson,-fisher-scoring-and-expectation-maximization-algorithm-application-on-accident-data/
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https://www.journalijar.com/article/21862/maximum-likelihood-based-on-newton-raphson,-fisher-scoring-and-expectation-maximization-algorithm-application-on-accident-data/
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23
https://www.researchgate.net/publication/323313310_MAXIMUM_LIKELIHOOD_BASED_ON_NEWTON_RAPHSON_FISHER_SCORING_AND_EXPECTATION_MAXIMIZATION_ALGORITHM_APPLICATION_ON_ACCIDENT_DATA
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https://www.researchgate.net/publication/323313310_MAXIMUM_LIKELIHOOD_BASED_ON_NEWTON_RAPHSON_FISHER_SCORING_AND_EXPECTATION_MAXIMIZATION_ALGORITHM_APPLICATION_ON_ACCIDENT_DATA
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24
https://alfurka.github.io/2021-10-12-poisson-regression-asymptotics-consistency/
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https://alfurka.github.io/2021-10-12-poisson-regression-asymptotics-consistency/
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25
https://statacumen.com/teach/SC1/SC1_11_LogisticRegression.pdf
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https://statacumen.com/teach/SC1/SC1_11_LogisticRegression.pdf
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26
http://econometricsense.blogspot.com/2011/07/newton-raphsons-method.html
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http://econometricsense.blogspot.com/2011/07/newton-raphsons-method.html
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27
https://zenodo.org/record/3986931/files/MLE_Weibull.pdf
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https://zenodo.org/record/3986931/files/MLE_Weibull.pdf
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28
https://www.stats.ox.ac.uk/~steffen/teaching/bs2HT9/scoring.pdf
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https://www.stats.ox.ac.uk/~steffen/teaching/bs2HT9/scoring.pdf
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29
https://ieeexplore.ieee.org/document/681600
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https://ieeexplore.ieee.org/document/681600
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30
https://www2.isye.gatech.edu/~jeffwu/isye8813/mle.pdf
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https://www2.isye.gatech.edu/~jeffwu/isye8813/mle.pdf
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31
https://www.di.ens.fr/~cappe/Publications/Self-archive/icassp98m.ps.gz
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https://www.di.ens.fr/~cappe/Publications/Self-archive/icassp98m.ps.gz
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32
https://rdrr.io/github/EBukin/maxLik-dev/man/maxNR.html
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https://rdrr.io/github/EBukin/maxLik-dev/man/maxNR.html
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33
https://www.maths.tcd.ie/~deetoher/statinf/Jan10.pdf
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https://www.maths.tcd.ie/~deetoher/statinf/Jan10.pdf
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34
https://www.jstor.org/stable/1267911
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https://www.jstor.org/stable/1267911
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35
https://www.sciencedirect.com/science/article/pii/S2405896315027846
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https://www.sciencedirect.com/science/article/pii/S2405896315027846
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36
https://people.stat.sc.edu/hansont/stat740/chap1.pdf
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https://people.stat.sc.edu/hansont/stat740/chap1.pdf
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37
https://www.semanticscholar.org/paper/The-Newton-Raphson-algorithm%3A-Computing-the-MLE-of/ea83222c15eb39952db1f927dca9fdcf79fd1825
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https://www.semanticscholar.org/paper/The-Newton-Raphson-algorithm%3A-Computing-the-MLE-of/ea83222c15eb39952db1f927dca9fdcf79fd1825
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38
https://stackoverflow.com/questions/42683458/programming-newton-raphson-in-r-for-maximum-likelihood-estimation
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https://stackoverflow.com/questions/42683458/programming-newton-raphson-in-r-for-maximum-likelihood-estimation
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39
https://www.tandfonline.com/doi/abs/10.1080/10556780600874154
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https://www.tandfonline.com/doi/abs/10.1080/10556780600874154
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40
https://www.numerade.com/ask/question/using-the-newton-raphson-method-derive-and-deseribe-an-iterative-process-designed-to-estimate-the-mle-of-02-from-the-half-normal-distribution-show-when-using-fisher-scoring-the-numerical-mle-05263/
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https://www.numerade.com/ask/question/using-the-newton-raphson-method-derive-and-deseribe-an-iterative-process-designed-to-estimate-the-mle-of-02-from-the-half-normal-distribution-show-when-using-fisher-scoring-the-numerical-mle-05263/
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41
https://community.rstudio.com/t/find-mle-od-theta-from-cauchi-distrubtion-with-newton-rapson-method/91420
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https://community.rstudio.com/t/find-mle-od-theta-from-cauchi-distrubtion-with-newton-rapson-method/91420
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42
https://www.chegg.com/homework-help/questions-and-answers/newton-s-method-finding-mle-denote-likelihood-l-bo-b1-log-likelihood-l-bo-b1--given-traini-q57686701
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https://www.chegg.com/homework-help/questions-and-answers/newton-s-method-finding-mle-denote-likelihood-l-bo-b1-log-likelihood-l-bo-b1--given-traini-q57686701
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43
https://thelaziestprogrammer.com/sharrington/math-of-machine-learning/solving-logreg-newtons-method
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https://thelaziestprogrammer.com/sharrington/math-of-machine-learning/solving-logreg-newtons-method
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44
https://www.mathworks.com/matlabcentral/answers/267310-choosing-the-good-initial-value-of-the-newton-raphson-iteration-method-for-maximum-likelihood-estima
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https://www.mathworks.com/matlabcentral/answers/267310-choosing-the-good-initial-value-of-the-newton-raphson-iteration-method-for-maximum-likelihood-estima
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45
https://documentation.sas.com/doc/en/statug/15.1/statug_phreg_details25.htm
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https://documentation.sas.com/doc/en/statug/15.1/statug_phreg_details25.htm
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46
https://arxiv.org/abs/1502.03655
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https://arxiv.org/abs/1502.03655
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47
https://www.math.leidenuniv.nl/~gill/teaching/ASC/week4.pdf
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https://www.math.leidenuniv.nl/~gill/teaching/ASC/week4.pdf
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48
https://hal.archives-ouvertes.fr/hal-01352495/document
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https://hal.archives-ouvertes.fr/hal-01352495/document
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49
https://dr.lib.iastate.edu/handle/20.500.12876/20954/
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https://dr.lib.iastate.edu/handle/20.500.12876/20954/
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50
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0080821
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https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0080821
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51
https://core.ac.uk/download/pdf/147422095.pdf
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https://core.ac.uk/download/pdf/147422095.pdf
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52
https://www.rasch.org/measess/met-15.pdf
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https://www.rasch.org/measess/met-15.pdf
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53
https://mmmlab.rbind.io/posts/2021-03-09-julia-mle/
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https://mmmlab.rbind.io/posts/2021-03-09-julia-mle/
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54
https://cmdstanpy.readthedocs.io/en/stable-0.9.65/optimize.html
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https://cmdstanpy.readthedocs.io/en/stable-0.9.65/optimize.html
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55
http://www2.stat.duke.edu/~sayan/CBB2012/binreg.pdf
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http://www2.stat.duke.edu/~sayan/CBB2012/binreg.pdf
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56
https://repository.up.ac.za/bitstream/handle/2263/26533/02chapter2.pdf?sequence=3&isAllowed=y
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https://repository.up.ac.za/bitstream/handle/2263/26533/02chapter2.pdf?sequence=3&isAllowed=y
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57
https://www.ese.wustl.edu/~nehorai/paper/04102539.pdf
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https://www.ese.wustl.edu/~nehorai/paper/04102539.pdf
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58
https://mc-stan.org/cmdstanpy/users-guide/examples/Maximum%20Likelihood%20Estimation.html
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https://mc-stan.org/cmdstanpy/users-guide/examples/Maximum%20Likelihood%20Estimation.html
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59
https://faculty.nps.edu/rbassett/presentations/SIAM_2021.pdf
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https://faculty.nps.edu/rbassett/presentations/SIAM_2021.pdf
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60
https://scialert.net/fulltext/?doi=jas.2011.3811.3814
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https://scialert.net/fulltext/?doi=jas.2011.3811.3814
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61
https://www.sid.ir/en/Journal/ViewPaper.aspx?ID=685406
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https://www.sid.ir/en/Journal/ViewPaper.aspx?ID=685406
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62
https://softmath.com/tutorials-3/algebra-formulas/newton-raphson-algorithm.html
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https://softmath.com/tutorials-3/algebra-formulas/newton-raphson-algorithm.html
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63
https://www.princeton.edu/~erp/ERParchives/archivepdfs/M118.pdf
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https://www.princeton.edu/~erp/ERParchives/archivepdfs/M118.pdf
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64
https://www.stata.com/manuals/rmaximize.pdf
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https://www.stata.com/manuals/rmaximize.pdf
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65
https://www.koreascience.or.kr/article/JAKO200311921705713.pdf
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https://www.koreascience.or.kr/article/JAKO200311921705713.pdf
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66
https://people.ucsc.edu/~aspearot/Econ_217/Econ_217_2.pdf
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https://people.ucsc.edu/~aspearot/Econ_217/Econ_217_2.pdf
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67
https://gbiomed.kuleuven.be/english/research/50000687/50000696/geertverbeke/cursuskort/optimcourse.pdf
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https://gbiomed.kuleuven.be/english/research/50000687/50000696/geertverbeke/cursuskort/optimcourse.pdf
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68
https://www.academia.edu/35957621/MAXIMUM_LIKELIHOOD_BASED_ON_NEWTON_RAPHSON_FISHER_SCORING_AND_EXPECTATION_MAXIMIZATION_ALGORITHM_APPLICATION_ON_ACCIDENT_DATA
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https://www.academia.edu/35957621/MAXIMUM_LIKELIHOOD_BASED_ON_NEWTON_RAPHSON_FISHER_SCORING_AND_EXPECTATION_MAXIMIZATION_ALGORITHM_APPLICATION_ON_ACCIDENT_DATA
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69
http://www.chadfulton.com/fulton_statsmodels_2017/sections/4-maximum_likelihood_estimation.html
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http://www.chadfulton.com/fulton_statsmodels_2017/sections/4-maximum_likelihood_estimation.html
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70
https://www.ibm.com/support/pages/does-spss-offer-maximum-likelihood-estimation-newton-raphson-methods
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https://www.ibm.com/support/pages/does-spss-offer-maximum-likelihood-estimation-newton-raphson-methods
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71
http://bioops.info/2015/01/gamma-mme-mle/
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http://bioops.info/2015/01/gamma-mme-mle/
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72
https://ideas.repec.org/a/spr/stpapr/v63y2022i3d10.1007_s00362-021-01263-y.html
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https://ideas.repec.org/a/spr/stpapr/v63y2022i3d10.1007_s00362-021-01263-y.html
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73
https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-6/issue-none/Long-range-search-for-maximum-likelihood-in-exponential-families/10.1214/11-EJS664.pdf
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https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-6/issue-none/Long-range-search-for-maximum-likelihood-in-exponential-families/10.1214/11-EJS664.pdf
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74
https://research.birmingham.ac.uk/portal/files/67793243/0962280219853602.pdf
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https://research.birmingham.ac.uk/portal/files/67793243/0962280219853602.pdf
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75
https://www.baeldung.com/cs/gradient-descent-vs-newtons-gradient-descent
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https://www.baeldung.com/cs/gradient-descent-vs-newtons-gradient-descent
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76
https://nlp.jbnu.ac.kr/CSTopic2020/slides_freda_2018/lec7.pdf
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https://nlp.jbnu.ac.kr/CSTopic2020/slides_freda_2018/lec7.pdf
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77
https://rpubs.com/JenniferGaneles/469851
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https://rpubs.com/JenniferGaneles/469851
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78
https://www.mathstat.dal.ca/~hgu/hession.pdf
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https://www.mathstat.dal.ca/~hgu/hession.pdf
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79
https://www.ms.uky.edu/~mai/sta705/s09mle.pdf
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https://www.ms.uky.edu/~mai/sta705/s09mle.pdf
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80
https://medcraveonline.com/BBIJ/modified-maximum-likelihood-estimation-in-poisson-regression.html
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https://medcraveonline.com/BBIJ/modified-maximum-likelihood-estimation-in-poisson-regression.html
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81
https://python.quantecon.org/mle.html
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https://python.quantecon.org/mle.html
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82
http://sites.warnercnr.colostate.edu/gwhite/optimization-method/
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http://sites.warnercnr.colostate.edu/gwhite/optimization-method/
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83
https://u.demog.berkeley.edu/~jrw/Papers/LCtech.pdf
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https://u.demog.berkeley.edu/~jrw/Papers/LCtech.pdf
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84
https://www.intlpress.com/site/pub/files/_fulltext/journals/sii/2021/0014/0003/SII-2021-0014-0003-a009.pdf
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https://www.intlpress.com/site/pub/files/_fulltext/journals/sii/2021/0014/0003/SII-2021-0014-0003-a009.pdf
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85
http://www.kris-nimark.net/pdf/NumMaxSlides.pdf
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http://www.kris-nimark.net/pdf/NumMaxSlides.pdf
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86
https://eclass.aueb.gr/modules/document/file.php/OIK230/Academic%20Year%202017-18/Tutorials/Implementing%20QMLE%20for%20ARMA%20models.pdf
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https://eclass.aueb.gr/modules/document/file.php/OIK230/Academic%20Year%202017-18/Tutorials/Implementing%20QMLE%20for%20ARMA%20models.pdf
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87
http://www.journal-dmor.ir/article_77084.html?lang=en
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https://www.dotnetlovers.com/article/225/logistic-regression-explained
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89
https://www.ma.imperial.ac.uk/~das01/MyWeb/M3S3/Handouts/OneStep.pdf
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https://kyutech.repo.nii.ac.jp/?action=repository_action_common_download&item_id=257&item_no=1&attribute_id=17&file_no=1
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91
https://tomroth.com.au/logistic/
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92
https://www.mn.uio.no/math/tjenester/kunnskap/kompendier/num_opti_likelihoods.pdf
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https://medium.com/pete-caya/implementing-binary-logistic-regression-in-r-e3a6f59ae294
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