DSE M1 臨考前 吃到飽 系列 (Question & Suggested Solution) PDF Download
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Author: Herman Yeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Education
Languages : en
Pages : 51
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Book Description
[購買此 e-book，並不包括任何問書服務] 如欲獲取問書服務，必需購買 HKDSE 數學天書實體版 訂購天書詳情可 click 入 : https://sites.google.com/view/HermanYeung 教學影片: (1) DSE M1 臨考前 吃到飽 系列 (早午餐) https://youtu.be/5sBcXIKDzg0?si=2CANOVMBypzjFKdY (2) DSE M1 臨考前 吃到飽 系列 (晚餐) https://youtu.be/VDlqLlk_BFI?si=zdVdGZ4aiG09W07i (3) DSE M1 臨考前 吃到飽 系列 (宵夜餐) https://youtu.be/izgdxPGf2qo?si=zIWFTILzf8wyQIod
Author: Herman Yeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Education
Languages : en
Pages : 51
Get Book Here
Book Description
[購買此 e-book，並不包括任何問書服務] 如欲獲取問書服務，必需購買 HKDSE 數學天書實體版 訂購天書詳情可 click 入 : https://sites.google.com/view/HermanYeung 教學影片: (1) DSE M1 臨考前 吃到飽 系列 (早午餐) https://youtu.be/5sBcXIKDzg0?si=2CANOVMBypzjFKdY (2) DSE M1 臨考前 吃到飽 系列 (晚餐) https://youtu.be/VDlqLlk_BFI?si=zdVdGZ4aiG09W07i (3) DSE M1 臨考前 吃到飽 系列 (宵夜餐) https://youtu.be/izgdxPGf2qo?si=zIWFTILzf8wyQIod
Author: Herman Yeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Science
Languages : en
Pages : 130
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Book Description
[購買此 e-book，並不包括任何問書服務] 如欲獲取問書服務，必需購買 HKDSE 數學天書實體版 訂購天書詳情可 click 入 : https://sites.google.com/view/HermanYeung 教學影片: (1) DSE Physics 臨考前 吃到飽 系列 (早餐) https://youtu.be/or87Gz8uiro?si=9XfJnPa0u6J4k14G (2) DSE Physics 臨考前 吃到飽 系列 (午餐) https://youtu.be/MycwvJ2qUvE?si=1DjTE5KvVzVJZQBY (3) DSE Physics 臨考前 吃到飽 系列 (茶餐) https://youtu.be/upLkA9KniPs?si=cVotol1dfIitptIg (4) DSE Physics 臨考前 吃到飽 系列 (晚餐+宵夜) https://youtu.be/MDzeXyc91fM?si=4AN5V3HbHbnVBimh
Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 136
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Book Description
Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
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Book Description
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Author: Thomas M. Cover
Publisher: John Wiley & Sons
ISBN: 1118585771
Category : Computers
Languages : en
Pages : 788
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Book Description
The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.
Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704
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Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Author: Andrew Zangwill
Publisher: Cambridge University Press
ISBN: 0521896975
Category : Science
Languages : en
Pages : 1005
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Book Description
An engaging writing style and a strong focus on the physics make this graduate-level textbook a must-have for electromagnetism students.
Author: Fuad Aleskerov
Publisher: Springer Science & Business Media
ISBN: 3642205704
Category : Business & Economics
Languages : en
Pages : 283
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Book Description
This textbook introduces students of economics to the fundamental notions and instruments in linear algebra. Linearity is used as a first approximation to many problems that are studied in different branches of science, including economics and other social sciences. Linear algebra is also the most suitable to teach students what proofs are and how to prove a statement. The proofs that are given in the text are relatively easy to understand and also endow the student with different ways of thinking in making proofs. Theorems for which no proofs are given in the book are illustrated via figures and examples. All notions are illustrated appealing to geometric intuition. The book provides a variety of economic examples using linear algebraic tools. It mainly addresses students in economics who need to build up skills in understanding mathematical reasoning. Students in mathematics and informatics may also be interested in learning about the use of mathematics in economics.
Author: Hamdy A. Taha
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 680
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Book Description
Author: Jean-François Le Gall
Publisher: Springer
ISBN: 3319310895
Category : Mathematics
Languages : en
Pages : 282
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Book Description
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic calculus within the general framework of continuous semimartingales. The main tools of stochastic calculus, including Itô’s formula, the optional stopping theorem and Girsanov’s theorem, are treated in detail alongside many illustrative examples. The book also contains an introduction to Markov processes, with applications to solutions of stochastic differential equations and to connections between Brownian motion and partial differential equations. The theory of local times of semimartingales is discussed in the last chapter. Since its invention by Itô, stochastic calculus has proven to be one of the most important techniques of modern probability theory, and has been used in the most recent theoretical advances as well as in applications to other fields such as mathematical finance. Brownian Motion, Martingales, and Stochastic Calculus provides a strong theoretical background to the reader interested in such developments. Beginning graduate or advanced undergraduate students will benefit from this detailed approach to an essential area of probability theory. The emphasis is on concise and efficient presentation, without any concession to mathematical rigor. The material has been taught by the author for several years in graduate courses at two of the most prestigious French universities. The fact that proofs are given with full details makes the book particularly suitable for self-study. The numerous exercises help the reader to get acquainted with the tools of stochastic calculus.
