Wonderful Indonesia Video Wins Top Grand Prix Award at International Tourism Film Festival 2017
Competing against no less than 91 films from 18 countries, the Wonderful Indonesia Promotional Video succeeded to win the top International Grand Prix Award at in the XIII International Tourism Film Festival, held recently in Bulgaria. The 3 minutes video featured the enthralling wonders found across the Indonesian Archipelago, produced by the Ministry of Tourism of the Republic Indonesia and directed by Condro Wibowo. The video aptly features Louis Armstrong’s legendary hit: ‘What a Wonderful World’ as musical score’.
APPLIED MULTIVARIATE STATISTICS FOR THE SOCIAL SCIENCES: Analyses with SAS and IBM’s SPSS.
Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally.
Features new to this edition include:
- NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure
- NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this “newer” procedure and how it can be used in conventional and multilevel settings
- NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles
- NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data
- Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results
- NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of PSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach
- Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3)
- A free online resources site http://www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises).
Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.
(Document is in Bahasa Indonesia)
2.PIE-TM2-(Demand Supply and Price)
4.PIE-TM4_5_6-(Cost and Production Theory)
6.Keseimbangan Pendapatan Nasional Ekonomi 2-3-dan-4-Sektor
7.PIE-TM9-(Circular Economics & National Output)
8.PIE-TM10-(Metode Penghitungan Pendapatan–Nasional)
This book is a wonderful complement to the Stata technical manuals. It provides a wealth of practical tips and sample applications that help the intermediate-level Stata user advance in making the most efficient use of Stata. It is thoughtfully organized along the lines of an econometrics textbook, allowing practitioners to find relevant and useful commands, procedures, and examples by topics that are familiar and immediate. It also includes a most helpful appendix for novice programmers that will expedite their development into proficient Stata programmers. This book is a must-have reference for any organization that needs to train practitioners of econometrics in the use of Stata. (Peter Boberg, CRA International)
Rcpp is an R add-on package which facilitates extending R with C++ functions. It is being used for anything from small and quickly constructed add-on functions written either to fluidly experiment with something new or to accelerate computing by replacing an R function with its C++ equivalent to large-scale bindings for existing libraries, or as a building block in entirely new research computing environments. While still relatively new as a project, Rcpp has already become widely deployed among users and developers in the R community. Rcpp is now the most popular language extension for the R system and used by over 100 CRAN packages as well as ten BioConductor packages.
This books aims to provide a solid introduction to Rcpp.
This book is for R users who would like to extend R with C++ code. Some familiarity with R is certainly helpful; a number of other books can provide refreshers or specific introductions. C++ knowledge is also helpful, though not strictly required. An appendix provides a very brief introduction for C++ to those familiar only with the R language. The book should also be helpful to those coming to R with more of a C++ programming background. However, additional background readingmay be required to obtain a firmer grounding in R itself. Chambers (2008) is a good introduction to the philosophy behind the R system and a helpful source in order to acquire a deeper understanding. There may also be some readers who would like to see how Rcpp works internally. Covering that aspect, however, requires a fairly substantial C++ content and is not what this book is trying to provide. The focus of this book is clearly on how to use Rcpp.
Technology now allows us to capture and store vast quantities of data. Finding patterns, trends, and anomalies in these datasets, and summarizing them with simple quantitative models, is one of the grand challenges of the information age—turning data into information and turning information into knowledge.
This book presents this new discipline in a very accessible form: as a text both to train the next generation of practitioners and researchers and to inform lifelong learners like myself. Witten and Frank have a passion for simple and elegant solutions. They approach each topic with this mindset, grounding all concepts in concrete examples, and urging the reader to consider the simple techniques first, and then progress to the more sophisticated ones if the simple ones prove inadequate.
If you are interested in databases, and have not been following the machine learning field, this book is a great way to catch up on this exciting progress. If you have data that you want to analyze and understand, this book and the associated Weka toolkit are an excellent way to start.