1,720,955 research outputs found
Analisis Klasterisasi Multi Distribusi Kontinu
Handiko. 2023. Analisis Klasterisasi Multi Distribusi Kontinu. Skripsi Jurusan Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Cenderawasih.
Penelitian ini mengkaji tentang pengklasteran distribusi kontinu dengan dua parameter yaitu parameter bentuk dan parameter skala. Distribusi yang digunakan dalam penelitian ini adalah distribusi Erlang, Fatigue Life, Frechet, Gamma, LogLogistik, Pareto, Pearson Tipe V dan Weibull. Untuk menentukan distribusi apa saja yang mirip, terlebih dahulu harus dilakukan estimasi parameter. Kemudian nilai parameter yang diperoleh akan digunakan untuk melakukan uji hipotesis. Nilai statistik uji yang diperoleh melalui uji hipotesis, kemudian akan dijadikan dasar dalam melakukan klasterisasi terhadap distribusi kontinu dengan dua parameter. Tujuan dari penelitian ini adalah untuk mengetahui distribusi apa saja yang mirip.
Hasil penelitian menunjukkan bahwa untuk data dengan range ≤ 20 dengan jumlah data ≤ 100 , dan range ≤ 50 dengan jumlah data ≤ 50 pada model sebaran tertentu, distribusi Gamma, Log-Logistik, dan Weibull memiliki kemiripan. Jumlah klaster optimal untuk data dengan range (1 − 10) sebanyak 50 dan 100 data (data set 1 dan 2), range (1 − 10) sebanyak 300 data (data set 1), range (1 − 20) sebanyak 50 data (data set 2) dan 100 data (data set 1), dan range (1 − 50) sebanyak 50 data (data set 2) yaitu sebanyak 2 klaster. Data dengan range (1 − 10) sebanyak 300 data (data set 2) dan range (1 − 50) sebanyak 50 data (data set 1) yaitu sebanyak 3 klaster. Dan data dengan range (1 − 20) sebanyak 50 data (data set 1) dan 100 data (data set 2) sebanyak 5 klaster.
Kata kunci : Klasterisasi, distribusi kontinu, uji kolmogorov-smirnov, uji anderson-darlin
Analisis Kumulatif dan Survival Model Sebaran Covid-19 Provinsi Papua Tahun 2021
After the government implemented the Implementation of Community Activity Restrictions (PPKM) in August 2021, COVID-19 cases in Papua Province had decreased by 46.2%. The daily average of COVID-19 cases in July decreased from 370 to 119 cases to be precise in August 2021. One of the Jayapura City government policies in early 2022 that aimed to break the chain of COVID-19 spread was to eliminate face-to-face learning for Kindergarten, Elementary, Junior High, and High School education levels from February 15 - March 15, 2022. Previous research related to the analysis of the cumulative distribution of COVID-19 in Papua province had been carried out in 2021. It used data on COVID-19 cases for two months during September 1 - October 31, 2020. The researchers used the Johnson SB model. In contrast to previous studies, the present study aimed to use the distribution of Erlang, Fatigue Life, Frechet, Gamma, Logistics, Pareto, Pearson Type 5 and Weibull to perform a cumulative and survival analysis on positive cases of COVID-19 patients in Papua Province in 2021. In addition, This study used COVID-19 data from January to April 2021. The results showed that the analysis of COVID-19 data in Papua Province in 2021 can utilize the Fatigue Life, Frechet, Gamma, Logistics, Pearson Type 5 and Weibull models
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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