Pendidikan Berbasis Adil Gender (Membongkar Akar Permasalahan dan Pengarusutamaan Gender sebagai sebuah Solusi)

Responsive gender education is a foundation of women\u27s empowerment. It is conducted not to create a higher statue for women. In the contrary, it is held to improve the independency, power and participation of women in order to avoid discrimination often happened to them. Therefore, a co-operative work by government, the private (non- government) institutions, independent institutions, and stakeholders of gender issue is expected to produce better public adjustments of gender. The gender mainstream will not only encourage to a stabilized and adjusted gender, but also will hold the government accountability of public to be in increase

Some Fundamental Properties of a Multivariate von Mises Distribution

In application areas like bioinformatics multivariate distributions on angles are encountered which show significant clustering. One approach to statistical modelling of such situations is to use mixtures of unimodal distributions. In the literature (Mardia et al., 2011), the multivariate von Mises distribution, also known as the multivariate sine distribution, has been suggested for components of such models, but work in the area has been hampered by the fact that no good criteria for the von Mises distribution to be unimodal were available. In this article we study the question about when a multivariate von Mises distribution is unimodal. We give sufficient criteria for this to be the case and show examples of distributions with multiple modes when these criteria are violated. In addition, we propose a method to generate samples from the von Mises distribution in the case of high concentration.Comment: fixed a typo in the article title, minor fixes throughou

A Fast Algorithm for Sampling from the Posterior of a von Mises distribution

Motivated by molecular biology, there has been an upsurge of research activities in directional statistics in general and its Bayesian aspect in particular. The central distribution for the circular case is von Mises distribution which has two parameters (mean and concentration) akin to the univariate normal distribution. However, there has been a challenge to sample efficiently from the posterior distribution of the concentration parameter. We describe a novel, highly efficient algorithm to sample from the posterior distribution and fill this long-standing gap

Hyperbolic angular statistics for globally coupled phase oscillators

We analytically discuss a multiplicative noise generalization of the Kuramoto-Sakaguchi dynamics for an assembly of globally coupled phase oscillators. In the mean field limit, the resulting class of invariant measures coincides with a generalized, two parameter family of angular von Mises probability distributions which is governed by the exit law from the unit disc of a hyperbolic drifted Brownian motion. Our dynamics offers a simple yet analytically tractable generalization of Kuramoto-Sakaguchi dynamics with two control parameters. We derive an exact and very compact relation between the two control parameters at the onset of phase oscillators synchronization.Comment: 8 page

IMPLEMENTASI MODEL DISCOVERY LEARNING UNTUK MENINGKATKAN KEMAMPUAN LITERASI SAINS SISWA KELAS XI MAN 2 HALMAHERA UTARA

Literasi sains merupakan instrument bagi siswa guna melatih kemampuan berpikir ilmiah siswa dalam usaha mengatasi masalah dalam kehidupan sehari-hari. Penggunaan model discovery learning mampu meningkatkan kemampuan literasi sains. Kemampuan literasi sains dapat dikembangkan atau dimunculkan pada diri siswa saat proses pembelajaran dengan menggunakan berbagai model dan strategi pembelajaran yang memungkinkan untuk hal tersebut. Salah satu  model yang diharapkan dapat meningkatkan kemampuan literasi sains siswa adalah model discovery learning. Model discovery learning sesuai tujuan penggunaannya diharapkan dapat membantu siswa melatih kemampuan berbagi pengetahuan yang dimiliki dan menggunakan idenya untuk memecahkan masalah yang dipelajari. Penelitian ini dilaksanakan di Madrasah Aliyah Negeri 2 Halmahera Utara pada siswa kelas XI IPA-1 dengan jumlah siswa sebanyak 27 siswa. Jenis penelitiannya adalah penelitian deskriptif kuantitatif. Instrumen yang digunakan untuk memperoleh data kemampuan literasi sains adalah soal-soal tes yang sesuai dengan materi atau konsep yang diajarkan dan disesuaikan dengan indikator literasi sains. Analisis data dilakukan dengan analisis deskriptif dan inferensial. Berdasarkan hasil analisis data diperoleh kemampuan literasi sains siswa kelas XI  pada aspek konten meningkat sebesar 22,22 %, aspek proses atau kompetensi meningkat sebesar 29,63%,  dan aspek konteks meningkat sebesar 25,93%. Hasil analisis dengan menggunakan N-Gain untuk melihat peningkatan kemampuan literasi sains siswa menunjukkan bahwa secara rata-rata kemampuan literasi sains siswa berada pada kategori sedang yaitu sebanyak 81,48 %, kategori tinggi 11,11% dan kategori rendah 7,41 %. Dari hasil tersebut dapat dikatakan bahwa penggunaan model discovery learning dapat meningkatkan kemampuan literasi sains siswa kelas XI IPA MAN 2 Halmahera Utara. 

A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics

Efron (1979) introduced the bootstrap method for independent data but it cannot be easily applied to spatial data because of their dependency. For spatial data that are correlated in terms of their locations in the underlying space the moving block bootstrap method is usually used to estimate the precision measures of the estimators. The precision of the moving block bootstrap estimators is related to the block size which is difficult to select. In the moving block bootstrap method also the variance estimator is underestimated. In this paper, first the semi-parametric bootstrap is used to estimate the precision measures of estimators in spatial data analysis. In the semi-parametric bootstrap method, we use the estimation of the spatial correlation structure. Then, we compare the semi-parametric bootstrap with a moving block bootstrap for variance estimation of estimators in a simulation study. Finally, we use the semi-parametric bootstrap to analyze the coal-ash data

Pearson's random walk in the space of the CMB phases: evidence for parity asymmetry

The temperature fluctuations of the Cosmic Microwave Background (CMB) are supposed to be distributed randomly in both magnitude and phase, following to the simplest model of inflation. In this paper, we look at the odd and even multipoles of the spherical harmonic decomposition of the CMB, and the different characteristics of these, giving rise to a parity asymmetry. We compare the even and odd multipoles in the CMB power spectrum, and also the even and odd mean angles. We find for the multipoles of the power spectrum, that there is power excess in odd multipoles, compared to even ones, meaning that we have a parity asymmetry. Further, for the phases, we present a random walk for the mean angles, and find a significant separation for even/odd mean angles, especially so for galactic coordinates. This is further tested and confirmed with a directional parity test, comparing the parity asymmetry in galactic and ecliptic coordinates.Comment: Accepted for publication in Phys. Rev. D, 10 pages, 10 figures, 1 table. Some typographical errors corrected, and further references adde