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"The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively."

"This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC)based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables."

"This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics. Specific case studies address the following statistical methods: gauge studies, passive data collection (sources of variation studies), design of experiments, statistical process control, and equipment reliability. Readers familiar with the statistical methodologies that comprise the Six Sigma tool box will find a wealth of applications. Czitrom has written an introduction to each statistical method, which, along with a glossary, gives basic definitions of frequently occurring statistical terms and suggestions for further reading. The case studies, which can be used in industrial training as well as in academia, are an extremely useful classroom supplement and will remain a rich source of used and useful approaches to real industrial problems for years to come. All of the data sets for each case study are available online."

"The industrialization has taken a significant part in an increase of-The-Gross Domestic Product (GDP), particularly in The Third World Countries. During 1970?s and 1980?s some cases in Indonesia had showed that the mainly input of GDP is given by manufacturing industries. It means that industrialization offers an increase of the economic growth, both regionally and domestically, including decreases in the level of poverty. Moreover, the economic improvement is still an aggregate and involved marry complicated components. According to these reasons, problem above is very attractive and then will be clearer if it is solved by a spatial approach.The case study in this research is the manufacturing industries and the poverty in the Medan City (The Capital of North Sumatra Province) in 1993-/999 period The objectives of the research are a review about the correlation between industries of manufacture (big and middle) to poverty and an identification of factors that influence it.This research uses 'Tumpang Susun Peta method' as an approach and supported by 'Statistical Correlation Method' resulting an integrated method As a consequence, the results will be found more accurately.The findings of this research are: in general, in Medan City, there was no strong correlation between the number of manufacturing industries and the poverty. An increase of amount for manufacturing industries is not followed by a decline in poverty. The ratio of the manufacture industry in manpower to the people in productive age was relatively small, e.g. 3.58 %. The level of the education was very low. On the other hand the industrial location is not located in the over-populated region.In regional area, North and South, a different pattern was illustrated. In the North, there was no strong correlation between percentage of the industry and the level of poverty. On the other hand in the South, there was a relatively strong correlation between percentage of industry and the no poverty area, especially Kecamatan Medan Johor, Denai, Area, Swigged, Petisah, and Barat. Above all, the basic quantitative of the study is viewed that industrial locations as employment highly absorbed, encourage the level of poverty to be wealthier especially in the South of Medan City."

"This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data."

"The book also discusses stochastic models for interest rates and calculation of premiums for some products in this set up. The highlight of the book is usage of R software, freely available from public domain, for computations of various monetary functions involved in insurance business. R commands are given for all the computations."

"This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital."

"Classification analysis is considered one of the most important areas of pattern recognition and data mining . It has been used in many industries to istablish a structure or model based on raw data...."

"[ABSTRAKTantangan terbesar bagi Pertamina dalam memutakhirkan bisnisnya dan masukdalam era globalisasi adalah meningkatkan margin kilang. Salah satu upaya untukmeningkatkan margin kilang adalah mengoperasikan kilang dengan businessphilosophy yaitu operations excellence “handal, efisien dan optimal”. AdvancedProcess Control (APC) adalah teknologi yang dapat meningkatkan margin kilangmelalui efisiensi energi dan optimasi produk lebih berharga dengan cara stabilisasikontrol proses kemudian menggeser target operasi (set point) mendekati titikoperasi optimal. Metode statistika adalah salah satu metode yang dapat digunakanuntuk memperkirakan benefit implementasi APC. Dalam penelitian ini, metodestatistika digunakan untuk menganalisis dan mengidetifikasi historical data daribeberapa process variable selama setahun untuk membangun suatu modelimplementasi teknologi APC pada kilang minyak (refinery) khususnya CrudeDisttillation Unit (CDU). Model yang berhasil dibangun adalah modeldeterministik berdasarkan analisis probabilistik dan teori yang mendasarinya yangkemudian dikembangkan menjadi model stokastik untuk analisis resiko danketidak pastian menggunakan simulasi monte carlo. Penelitian ini berhasilmembuktikan bahwa implementasi teknologi APC layak dilakukan dan dapatmeningkatkan margin kilang Pertamina RU VI Balongan.

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ABSTRACTThe biggest challenge for Pertamina in updating its business and entered theglobalization era is increasing refinery margin. One effort to increase the refinerymargin is operating with a business philosophy so called operations excellence"reliable, efficient and optimal". Advanced Process Control (APC) is a kind oftechnology that can improve refinery margins through the energy efficiency andvaluable product optimization by way of process control stabilization then shiftsoperation target (set point) approaching the optimal operating point. Statisticalmethod is one method that can be applied to estimate the benefits of APCimplementation. In this research, statistical methods used to analyze and identifythe historical data from several process variables during one year to build amodel of APC technology utilization at refineries in particular Crude DistillationUnit (CDU). The model that has been successfully built is a deterministic modelbased on probabilistic analysis and underlying theories which later developedinto a stochastic model for risk analysis and uncertainty using Monte Carlosimulation. This research has successfully proving that implementation of APCtechnology feasible to conduced and can improve refinery margin of PertaminaRU VI Balongan., The biggest challenge for Pertamina in updating its business and entered theglobalization era is increasing refinery margin. One effort to increase the refinerymargin is operating with a business philosophy so called operations excellence"reliable, efficient and optimal". Advanced Process Control (APC) is a kind oftechnology that can improve refinery margins through the energy efficiency andvaluable product optimization by way of process control stabilization then shiftsoperation target (set point) approaching the optimal operating point. Statisticalmethod is one method that can be applied to estimate the benefits of APCimplementation. In this research, statistical methods used to analyze and identifythe historical data from several process variables during one year to build amodel of APC technology utilization at refineries in particular Crude DistillationUnit (CDU). The model that has been successfully built is a deterministic modelbased on probabilistic analysis and underlying theories which later developedinto a stochastic model for risk analysis and uncertainty using Monte Carlosimulation. This research has successfully proving that implementation of APCtechnology feasible to conduced and can improve refinery margin of PertaminaRU VI Balongan.]"

"This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users."