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All Journal Jurnal Pengajaran MIPA Jurnal Online Pendidikan Matematika Kontemporer EurekaMatika (Jurnal Online Matematika S1) Indiktika : Jurnal Inovasi Pendidikan Matematika Jurnal Fundadikdas (Fundamental Pendidikan Dasar) JPMI (Jurnal Pembelajaran Matematika Inovatif) These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan Jurnal Eurekamatika Jurnal Pendidikan MIPA
bambang avip Priatna
Program Studi Pendidikan Matematika
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Jurnal Pengajaran MIPA

 1 
APLIKASI METODE KERNEL DALAM ESTIMASI FUNGSI HAZARD Priatna, Bambang Avip
Jurnal Pengajaran MIPA Vol 6, No 2 (2005): JPMIPA: Volume 6, Issue 2, 2005
Publisher : Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18269/jpmipa.v6i2.34987

Abstract

Let T be a nonnegative random variable representing the lifetimes of individuals in some population. Let f(t) denote the probability density function of T and F(t) denote the distribution function of T, the hazard function of T defined asIf equation (1) integrated we have cumulative hazard function H (t).This paper describes application of kernel method for estimation of hazard function h (.) based censoring data. And then we will show that the hazard estimator is unbiased asymptotically, consistent, and normal asymptotically.
DARI ANALISIS FOURIER KE ANALISIS WAVELET (From Fourier Analysis to Wavelet Analysis) Priatna, Bambang Avip
Jurnal Pengajaran MIPA Vol 2, No 2 (2001): JPMIPA: Volume 2, Issue 2, 2001
Publisher : Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18269/jpmipa.v2i2.34913

Abstract

In this article we will compare the classical methods of Fourier analysis with the never methods of wavelet analysis. Fourier methods are not always a good tool to recapture the signal, particularly if it is highly non-smooth because too much Fourier information is needed to reconstruct the signal locally. In this case, wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal.
Co-Authors Aisyah, Ani Dadan Dasari Dadang Juandi Endang Dedy Fikri, Ahmad Fitri Anisa Kusumastuti Fitriani agustina Hidayat, Azhar Majid Imas Teti Rohaeti Jarnawi Afgani Dahlan Maya Nurlita, Maya Nopitasari, Dian Primadiana, Anneke Syamsul Arifin Wahyudin Wahyudin Yaya S. Kusumah