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Buku ini berisi berbagai contoh kode program R untuk melakukan visualisasi data, seperti grafik batang, grafik garis, grafik lingkaran, grafik boxplot, grafik time series, grafik scatter plot, grafik korelasi. Di samping itu, diberikan beberapa contoh praktek dalam memanipulasi data menggunakan berbagai fungsi R. Pekerjaan R dilakukan di R Notebook pada RStudio. Kode program R pada buku ini dapat diakses secara gratis di dalam isi buku ini.
There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books,andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute the range of integrals that are necessary in a Bayesian posterior analysis. Due to the speed of modern c- puters, it is now possible to use the Bayesian paradigm to ?t very complex models that cannot be ?t by alternative frequentist methods. To ?t Ba...
This volume examines the assessment of higher order thinking skills from the perspectives of applied cognitive psychology and measurement theory. The volume considers a variety of higher order thinking skills, including problem solving, critical thinking, argumentation, decision making, creativity, metacognition, and self-regulation. Fourteen chapters by experts in learning and measurement comprise four sections which address conceptual approaches to understanding higher order thinking skills, cognitively oriented assessment models, thinking in the content domains, and practical assessment issues. The volume discusses models of thinking skills, as well as applied issues related to the construction, validation, administration and scoring of perfomancebased, selected-response, and constructed-response assessments. The goal of the volume is to promote a better theoretical understanding of higher order thinking in order to facilitate instruction and assessment of those skills among students in all K-12 content domains, as well as professional licensure and cetification settings.
This first edition focuses on probability and the Bayesian viewpoint. It presents basic material on probability and then introduces inference by means of Bayes' rule. The emphasis is on statistical thinking and how one learns from data. The objective is to present the basic tenets of statistical inference. Unique in its format, the text allows students to discover statistical concepts, explore statistical principles, and apply statistical techniques. In addition to the numerous activities and exercises around which the text is built, the book includes a basic text exposition for each topic, and data appendices.
Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics.
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior,...
Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.
This carefully crafted ebook: "Twilight Sleep (Unabridged)" is formatted for your eReader with a functional and detailed table of contents. Edith Wharton's superb satirical novel of the Jazz Age is a critically praised best-seller since it was first published in 1927. Sex, drugs, work, money, infatuation with the occult and spiritual healing - these are the remarkably modern themes that animate Twilight Sleep. Edith Wharton (1862-1937) was a Pulitzer Prize-winning American novelist, short story writer, and designer. She became known for her psychological examination of characters faced with changes in the moral and social values of middle-class and upper-class society. Her novels and short stories provide numerous expert characterizations of complex men and women.
This book contains the proceedings of the The 5th Annual International Seminar on Trends in Science and Science Education (AISTSSE) and The 2nd International Conference on Innovation in Education, Science and Culture (ICIESC), where held on 18 October 2018 and 25 September 2018 in same city, Medan, North Sumatera. Both of conferences were organized respectively by Faculty of Mathematics and Natural Sciences and Research Institute, Universitas Negeri Medan. The papers from these conferences collected in a proceedings book entitled: Proceedings of 5th AISTSSE. In publishing process, AISTSSE and ICIESC were collaboration conference presents six plenary and invited speakers from Australia, Japan...
Bayesian Computation Using MINITAB contains a set of MINITAB macros that offers an effective medium for computation in Bayesian statistics. This software with accompanying guide is suitable for introductory through advanced-level courses.