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"This book provides a thorough investigation of the theory and applications of time and band limiting, and develops the tools for applications in communications engineering, as well as optical engineering, geosciences, planetary sciences, and biomedicine. "

"Zeta-function regularization is a powerful method in perturbation theory, and this book is a comprehensive guide for the student of this subject. Everything is explained in detail, in particular the mathematical difficulties and tricky points, and several applications are given to show how the procedure works in practice, for example in the Casimir effect, gravity and string theory, high-temperature phase transition, topological symmetry breaking, and non-commutative spacetime. The formulae, some of which are new, can be directly applied in creating physically meaningful, accurate numerical calculations. The book acts both as a basic introduction and a collection of exercises for those who want to apply this regularization procedure in practice. "

"The Third Edition retains the general organization of the prior two editions, but it incorporates new material throughout the text. The book is organized into six parts: Part I covers basic sampling from simple random sampling to unequal probability sampling; Part II treats the use of auxiliary data with ratio and regression estimation and looks at the ideas of sufficient data, model, and design in practical sampling; Part III covers major useful designs such as stratified, cluster and systematic, multistage, and double and network sampling; Part IV examines detectability methods for elusive populations, and basic problems in detectability, visibility, and catchability are discussed; Part V concerns spatial sampling with the prediction methods of geostatistics, considerations of efficient spatial designs, and comparisons of different observational methods including plot shapes and detection aspects; and Part VI introduces adaptive sampling designs in which the sampling procedure depends on what is observed during the survey. For this new edition, the author has focused on thoroughly updating the book with a special emphasis on the first 14 chapters since these topics are invariably covered in basic sampling courses. The author has also implemented new approaches to explain the various techniques in the book, and as a result, new examples and explanations have been added throughout. In an effort to improve the presentation and visualization of the book, new figures as well as replacement figures for previously existing figures have been added. This book has continuously stood out from other sampling texts since the figures evoke the idea of each sampling design. The new figures will help readers to better visualize and understand the underlying concepts such as the different sampling strategies."

"The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories.This volume contains the proceedings of the 2nd International Conference on Belief Functions that was held in Compiègne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles."

"ABSTRAKDurasi dan konveksitas adalah dua hal penting yang tidak terlepas dalam imunisasi mortalitas. Pada mulanya, durasi dan konveksitas berhubungan erat dengan imunisasi aset keuangan terhadap perubahan suku bunga. Namun beberapa penelitian terakhir telah mengaplikasikan konsep durasi dan konveksitas ini dalam imunisasi terhadap mortalitas. Pada tugas akhir ini dikembangkan dua puluh empat strategi imunisasi mortalitas dengan menggunakan konsep durasi dan konveksitas pada portofolio asuransi yang terdiri atas produk asuransi kehidupan dan produk anuitas. Hasil akhir dari tugas akhir ini diperoleh proporsi optimal antara produk asuransi kehidupan dan produk anuitas. Simulasi numerik diberikan untuk mengetahui nilai dan karakteristik proporsi optimal dari dua portofolio yang dipengaruhi oleh beberapa faktor yaitu : strategi yang digunakan, model mortalitas, jenis perubahan model mortalitas, tahun usia pemegang polis saat mendaftarkan diri ke perusahaan asuransi, jangka waktu pembayaran premi, dan jangka waktu polis.

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ABSTRACTDuration and convexity are two important factors in mortality immunization. These two factors used to be very closely related to financial assets immunization towards change in interest rate, but some of the latest studies had applied the concept of duration and immunization in terms of mortality immunization. This thesis paper examines 24 mortality immunization strategies that applied the duration and convexity concept in insurance portfolios which consist of life insurance and annuity products. The outcome of this study is the optimal proportion of the life insurance and annuity products. Numeric simulations had been done to obtain the value and characteristics of the optimal proportion for two portfolios which is affected by several factors, namely the implemented strategy, mortality model, mortality model change type, age of policy holder, year of application, payment paying period, and term policies."