Pertemuan pertama saya dengan istilah “populasi semu” adalah ketika saya terlibat dalam proyek DACSEIS Uni Eropa (Kualitas Data dalam Survei Kompleks dalam Masyarakat Informasi Eropa Baru), di mana saya bertanggung jawab atas kontribusi Austria. Dalam proyek ini, antara lain, populasi buatan atau “pseudopopulasi,” yang selanjutnya disebut “alam semesta yang masuk akal atau sintetis,…
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, high…
Putting forward a unified presentation of the features and possible applications of probabilistic preferences composition, and serving as a methodology for decisions employing multiple criteria, this book maximizes reader insights into the evaluation in probabilistic terms and the development of composition approaches that do not depend on assigning weights to the criteria. With key applicat…
This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancest…
Memberikan prinsip-prinsip inti dan mendasar serta analisis dari berbagai konsep dalam kerangka Kecerdasan Kolektif untuk memodelkan dan mengendalikan Sistem Multi-Agen terdistribusi. Membahas secara rinci pendekatan Kolektif Probabilitas yang dimodifikasi yang diusulkan oleh penulis. Menekankan pengembangan hasil fundamental dari konsep dasar. Banyak contoh / masalah dikerjakan dalam teks yang…
(1). Menyajikan perlakuan sistematis dan komprehensif dari berbagai proses sebelumnya. (2). Menyediakan sumber daya berharga untuk analisis Bayesian nonparametrik dari big data. (3). Termasuk bagian tentang pembelajaran mesin. (4). Menunjukkan contoh-contoh praktis. Frasa yang disediakan tampaknya merupakan topik atau judul bab yang terkait dengan metode statistik dan Bayesian. Mari kita ba…
This book serves as a practical guide to methods and statistics in medical research. It includes step-by-step instructions on using SPSS software for statistical analysis, as well as relevant examples to help those readers who are new to research in health and medical fields. Simple texts and diagrams are provided to help explain the concepts covered, and print screens for the statistical steps…
This volume gathers papers originally presented at the 3rd Workshop on Branching Processes and their Applications (WBPA15), which was held from 7 to 10 April 2015 in Badajoz, Spain (http://branching.unex.es/wbpa15/index.htm). The papers address a broad range of theoretical and practical aspects of branching process theory. Further, they amply demonstrate that the theoretical research in this ar…
Yi-Tang Lin menyajikan proses historis dimana statistik menjadi bahasa kesehatan global untuk organisasi kesehatan lokal dan internasional. Berdasarkan bahan arsip dari tiga benua, penelitian ini menyelidiki upaya sekolah kesehatan masyarakat, yayasan filantropi, dan organisasi internasional untuk mengubah angka menjadi bahasa internasional untuk kesehatan masyarakat. Line menunjukkan bagaimana…
This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medi…