A New Version of the Exponentiated Burr X distribution

Ahmed, Mohammed T.; Khaleel, Mundher A.; Oguntunde, Pelumi E.; Abdal-Hammed, Moudher Kh.

doi:10.1088/1742-6596/1818/1/012116

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…Proses pembelajaran akan menentukan pencapaian kompetensi yang telah ditetapkan (Kızkapan & Bektaş, 2017;Sanjaya et al, 2018). Menurut (Ahmed et al, 2021;Sahliawati & Nurlaelah, 2020) Materi matematika cendrung bersifat abstrak dan dinilai monoton sehingga diperlukan alat atau teknologi yang dapat membantu siswa dalam menerima informasi pada proses pembelajaran Kepala Badan Penelitian dan Pengembangan Kemendikbud (2013) mengungkapkan bahwa penyelenggaraan pendidikan dasar dan menengah sebagaimana yang dinyatakan dalam Permen Nomor 17 Tahun 2010 tentang Pengelolaan dan Penyelenggaraan Pendidikan bertujuan membangun landasan bagi berkembangnya potensi siswa agar menjadi manusia yang beriman dan bertakwa kepada Tuhan Yang Maha Esa, berakhlak mulia, dan berkepribadian luhur; berilmu, cakap, kritis, kreatif, dan inovatif; sehat, mandiri, dan percaya diri; serta toleran, peka sosial, demokratis, dan bertanggung jawab.…”

Section: Pendahuluanunclassified

Pengaruh Impelemetasi Nilai-Nilai Islam Melalui Pendekatan Saintifik Terhadap Hasil Belajar Matematika Siswa MTS Negeri Di Pulau Morotai

2023

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Hasil observasi menunjukkan nilai-nilai Islam belum terintegrasi dalam pembelajaran matematika melalui pendekatan saintifik di MTs Negeri di Pulau Morotai. Ketika mereka mengajarkan materi tentang relasi sebaiknya memberikan contoh relasi tentang nama-nama malaikat dan tugasnya masing-masing atau namanama surah dalam Al-Quran. Penelitian ini bertujuan: (a) untuk mendeskripsikan besar hasil belajar siswa dalam implementasi nilai-nilai Islam melalui pendekatan saintifik pada siswa kelas VII MTs. Negeri Morotai, (b) untuk mendeskripsikan besar hasil belajar siswa dalam implementasi nilai-nilai Islam melalui pendekatan konkonvensional (deduktif) pada siswa kelas VII MTs. Negeri Morotai dan (c) untuk mengetahui pengaruh implementasi nilai-nilai Islam terhadap hasil belajar antara yang diajar menggunakan pendekatan saintifik dan yang diajar menggunakan pendekatan konvensional (deduktif). Jenis penelitian yang digunakan yaitu quasi experimental dengan static group comparison design dengan jumlah sampel 36 siswa pada kelas eksperimen dan 34 siswa pada kelas kontrol. Instrumen yang digunakan adalah tes kognitif untuk mengetahui hasil belajar siswa antara kelas yang menerapkan implementasi nilai-nilai Islam melalui pendekatan saintifik sebagai kelas eksperimen dan kelas yang diberikan implementasi nilai-nilai Islam melalui pendekatan konfensional (deduktif) sebagai kelas kontrol. Hasil penelitian menunjukkan rerata tes siswa kelas eksperimen sebesar 17.29 pada kategori tinggi dan rerata skor kelas kontrol 14.91 pada kategori sedang. Selanjutnya berdasarkan analisis inferensial independent t-test diperoleh nilai sig.𝛼 sebesar 0.004 lebih kecil dari pada 0.05 dengan demikian terdapat pengaruh implementasi nilai-nilai Islam melalui pendekatan saintifik terhadap hasil belajar pada mata pelajaran matematika kelas VII MTs Negeri di Pulau Morotai.

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Section: Pendahuluanunclassified

Pengaruh Impelemetasi Nilai-Nilai Islam Melalui Pendekatan Saintifik Terhadap Hasil Belajar Matematika Siswa MTS Negeri Di Pulau Morotai

2023

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“…The Burr distribution, renowned for its flexibility in modeling heavy-tailed distributions, offers an alternative model to better capture the intricate connectivity patterns of biological networks. Recently, Burr distribution with nonlinear exponent [41], Marhsall-Olkin generalization of Burr (Burr MO [45]), and exponentiated Burr distribution [46] have shown excellent performance to better fit the large-scale heavy-tailed networks better than the popularly used power law and other probability models. The proposed Compounded Burr (CBurr) distribution is a member of a certain family of continuous probability distributions which introduces a new way of incorporating a parameter to expand the Burr XII distribution.…”

Section: Introductionmentioning

confidence: 99%

Learning Patterns from Biological Networks: A Compounded Burr Probability Model

Chakraborty,

Naik,

Chattopadhyay

et al. 2023

Preprint

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Complex biological networks, comprising metabolic reactions, gene interactions, and protein interactions, often exhibit scale-free characteristics with power-law degree distributions. However, empirical studies have revealed discrepancies between observed biological network data and ideal power-law fits, highlighting the need for improved modeling approaches. To address this challenge, we propose a novel family of distributions, building upon the baseline Burr distribution. Specifically, we introduce the compounded Burr (CBurr) distribution, derived from a continuous probability distribution family, enabling flexible and efficient modeling of node degree distributions in biological networks. This study comprehensively investigates the general properties of the CBurr distribution, focusing on parameter estimation using the maximum likelihood method. Subsequently, we apply the CBurr distribution model to large-scale biological network data, aiming to evaluate its efficacy in fitting the entire range of node degree distributions , surpassing conventional power-law distributions and other benchmarks. Through extensive data analysis and graphical illustrations, we demonstrate that the CBurr distribution exhibits superior modeling capabilities compared to traditional power-law distributions. This novel distribution model holds great promise for accurately capturing the complex nature of biological networks and advancing our understanding of their underlying mechanisms.

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“…Studies which worked around the Burr Type X-G family of distributions include Gamma Burr type X (GBX) distribution [16], Exponentiated Burr X (EBX) distribution [17], Beta Burr X (BBX) distribution [18], Exponentiated Generalized Burr X (EGBX) distribution [19] and Type I Half-Logistic Burr X (TIHLBX) distribution [20].…”

Section: Introductionmentioning

confidence: 99%

The Topp-Leone Odd Burr X-G Family of Distributions: Properties and Applications

Oluyede,

Tlhaloganyang,

Sengweni

2023

Stat., optim. inf. comput.

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This paper proposes a new generalized family of distributions called the Topp-Leone odd Burr X-G (TLOBX-G) distribution and its special model, Topp-Leone odd Burr X-Weibull (TLOBX-W) is studied in detail. Structural properties are derived, including the hazard rate function, quantile function, density expansion, moments, R'enyi entropy, and order statistics. The maximum likelihood technique is used to estimate the parameters of the new family of distributions and a simulation study was carried out to assess the accuracy and consistency of these estimators. Finally, the applicability, usefulness, and flexibility of TLOBX-W distribution are illustrated using two real-life datasets.

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A New Version of the Exponentiated Burr X distribution

Cited by 9 publications

References 20 publications

Pengaruh Impelemetasi Nilai-Nilai Islam Melalui Pendekatan Saintifik Terhadap Hasil Belajar Matematika Siswa MTS Negeri Di Pulau Morotai

Pengaruh Impelemetasi Nilai-Nilai Islam Melalui Pendekatan Saintifik Terhadap Hasil Belajar Matematika Siswa MTS Negeri Di Pulau Morotai

Learning Patterns from Biological Networks: A Compounded Burr Probability Model

The Topp-Leone Odd Burr X-G Family of Distributions: Properties and Applications

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