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Angel, My Angel
An angel, named Ikumi, travels to Earth to perform noble, kindhearted deeds in order to gain her wings and become Queen of the realm her family rules. On Earth, she must face her nemesis, the demon princess, Akako Setemoto and her brother, Hisoka. But what happens when Hisoka, the prince demon, begins to romance Ikumi; and the spirited, yet idiotic boy, Akatsuki, jealously guards her with his life? Will Ikumi’s destiny unfold and will she ever find true love?
Applying Generalized Linear Models
This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. The author shows the unity of many of the commonly used models and provides readers with a taste of many different areas, such as survival models, time series, and spatial analysis, and of their unity. As such, this book will appeal to applied statisticians and to scientists having a basic grounding in modern statistics. With many exercises at the end of each chapter, it will equally constitute an excellent text for teaching applied statistics students and non- statistics majors. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, being familiar at least with the analysis of the simpler normal linear models, regression and ANOVA.
The Conway–Maxwell–Poisson Distribution
While the Poisson distribution is a classical statistical model for count data, the distributional model hinges on the constraining property that its mean equal its variance. This text instead introduces the Conway-Maxwell-Poisson distribution and motivates its use in developing flexible statistical methods based on its distributional form. This two-parameter model not only contains the Poisson distribution as a special case but, in its ability to account for data over- or under-dispersion, encompasses both the geometric and Bernoulli distributions. The resulting statistical methods serve in a multitude of ways, from an exploratory data analysis tool, to a flexible modeling impetus for varied statistical methods involving count data. The first comprehensive reference on the subject, this text contains numerous illustrative examples demonstrating R code and output. It is essential reading for academics in statistics and data science, as well as quantitative researchers and data analysts in economics, biostatistics and other applied disciplines.
Epidemiology of Arterial Blood Pressure
Hypertension is a major health problem and contrary to ischemic heart disease, which occurs only in Western countries, its distribution is almost universal. It is this universality that has prompted us to gather, in this book, data on arterial blood pressure obtained in different parts of the world. Moreover, cerebrovascular mortality, which is the commonest cause of death from hypertension, is decreasing in most Western countries and in Japan, and the reasons for this are still far from clear. A major problem in comparing blood pressure values from different centers is the standardization of the measurement. Complete standardization will never be achieved if one takes into account the numer...
Index Medicus
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Bayesian Missing Data Problems
Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995. Applying the Bayesian approach to important real-wor
Data-Driven Decision Making in Entrepreneurship
Since the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion of venture capital was invested globally (Global Startup Ecosystem Report 2020). Simultaneously, an explosion in high volume and high velocity of big data is rapidly changing how organizations function. Gone are the days where organizations can make decisions solely on intuition, logic, or experience. Some have gone as far as to say that data is the most valuable currency and resource available to businesses, and startups are no exception. However, startups and small businesses do differ from the...
Tutoring and Demonstrating
This handbook, primarily for new part-time teaching staff at colleges and universities in the United Kingdom, focuses on tutoring and demonstrating teaching skills. Following an introductory chapter, six additional chapters provide an orientation to tutoring and demonstrating. Chapter 2 presents an overview of the roles and responsibilities of new staff. Chapter 3 outlines preparation for tutorial classes in the arts and social sciences. Chapter 4 focuses on tutoring of problem-solving classes in mathematics and the sciences. Chapter 5 reviews demonstrating practices in science laboratory and field classes. Chapter 6 reviews the tutor's role in relation to coursework essays and grading writt...
Culture and Computing. Design Thinking and Cultural Computing
The two-volume set LNCS 12794-12795 constitutes the refereed proceedings of the 9th International Conference on Culture and Computing, C&C 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers included in the HCII-C&C volume set were organized in topical sections as follows: Part I: ICT for cultural heritage; technology and art; visitors’ experiences in digital culture; Part II: Design thinking in cultural contexts; digital humanities, new media and culture; perspectives on cultural computing.
