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Buku Ajar Manajemen Keuangan ini disusun sebagai buku panduan komprehensif yang menjelajahi kompleksitas dan mendalamnya tentang ilmu manajemen keuangan. Buku ini dapat digunakan oleh pendidik dalam melaksanakan kegiatan pembelajaran di bidang ilmu manajemen keuangan dan diberbagai bidang Ilmu terkait lainnya. Selain itu, buku ini juga dapat digunakan sebagai panduan dan referensi mengajar mata kuliah manajemen keuangan dan menyesuaikan dengan rencana pembelajaran semester tingkat perguruan tinggi masing-masing. Secara garis besar, buku ajar ini pembahasannya mulai dari manajemen keuangan dan ruang lingkupnya, analisis penggunaan rasio keuangan, manajemen modal kerja dam investasi dalam aktiva tetap. Selain itu, materi mengenai biaya modal dan struktur modal serta kebijakan dividen juga dibahas secara mendalam. Buku ajar ini disusun secara sistematis, ditulis dengan bahasa yang jelas dan mudah dipahami, dan dapat digunakan dalam kegiatan pembelajaran.
This conference proceedings focuses on enabling science and mathematics practitioners and citizens to respond to the pressing challenges of global competitiveness and sustainable development by transforming research and teaching of science and mathematics. The proceedings consist of 82 papers presented at the Science and Mathematics International Conference (SMIC) 2018, organised by the Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Indonesia. The proceedings are organised in four parts: Science, Science Education, Mathematics, and Mathematics Education. The papers contribute to our understanding of important contemporary issues in science, especially nanotechnology, materials and environmental science; science education, in particular, environmental sustainability, STEM and STEAM education, 21st century skills, technology education, and green chemistry; and mathematics and its application in statistics, computer science, and mathematics education.
This survey book reviews four interrelated areas: (i) the relevance of heuristics in problem-solving approaches – why they are important and what research tells us about their use; (ii) the need to characterize and foster creative problem-solving approaches – what type of heuristics helps learners devise and practice creative solutions; (iii) the importance that learners formulate and pursue their own problems; and iv) the role played by the use of both multiple-purpose and ad hoc mathematical action types of technologies in problem-solving contexts – what ways of reasoning learners construct when they rely on the use of digital technologies, and how technology and technology approaches can be reconciled.
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
This text covers the science of statistics. In addition to classical probability theory, such topics as order statistics and limiting distributions are discussed, along with applied examples from a wide variety of fields.
This book takes a new and critical look at the underlying factors that affect the management of water resources, and its content is guided by three important visions. With the “theory” vision, the existing knowledge system for IWRM is reorganized in order to supplement new theories related to our society and science. We then introduce two distinctive case studies on how to achieve sustainable water management. Based on the “social implementation” vision, one study is carried out by the Research Institute for Humanity and Nature on Indonesia’s Bali Island, where there is a long history of educational and inspirational local-level water management systems with multistakeholder partic...
Corporate Payout Policy synthesizes the academic research on payout policy and explains "how much, when, and how". That is (i) the overall value of payouts over the life of the enterprise, (ii) the time profile of a firm's payouts across periods, and (iii) the form of those payouts. The authors conclude that today's theory does a good job of explaining the general features of corporate payout policies, but some important gaps remain. So while our emphasis is to clarify "what we know" about payout policy, the authors also identify a number of interesting unresolved questions for future research. Corporate Payout Policy discusses potential influences on corporate payout policy including manage...
The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.
Generalised Least Squares adopts a concise and mathematically rigorous approach. It will provide an up-to-date self-contained introduction to the unified theory of generalized least squares estimations, adopting a concise and mathematically rigorous approach. The book covers in depth the 'lower and upper bounds approach', pioneered by the first author, which is widely regarded as a very powerful and useful tool for generalized least squares estimation, helping the reader develop their understanding of the theory. The book also contains exercises at the end of each chapter and applications to statistics, econometrics, and biometrics, enabling use for self-study or as a course text.
Panel data is a data type increasingly used in research in economics, social sciences, and medicine. Its primary characteristic is that the data variation goes jointly over space (across individuals, firms, countries, etc.) and time (over years, months, etc.). Panel data allow examination of problems that cannot be handled by cross-section data or time-series data. Panel data analysis is a core field in modern econometrics and multivariate statistics, and studies based on such data occupy a growing part of the field in many other disciplines. The book is intended as a text for master and advanced undergraduate courses. It may also be useful for PhD-students writing theses in empirical and ap...