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  • Sách/Book

  • Probability and statistical inference

    • Authors: Nitis Mukhopadhyay (2000)

  • This textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts - reinforcing important ideas and emphasizing special techniques with drills and boxed summaries
  • Sách/Book

  • Linear and Nonlinear Programming

    • Authors: David G. Luenberger (2016)

  • This new edition covers the central concepts of practical optimization techniques, with an emphasis on methods that are both state-of-the-art and popular. Again a connection between the purely analytical character of an optimization problem and the behavior of algorithms used to solve the problem. As in the earlier editions, the material in this fourth edition is organized into three separate parts. Part I is a self-contained introduction to linear programming covering numerical algorithms and many of its important special applications. Part II, which is independent of Part I, covers the theory of unconstrained optimization, including both derivations of the appropriate optimality conditions and an introduction to basic algorithms. Part III extends the concepts developed in the seco...
  • Sách/Book

  • Giáo trình thống kê xã hội học: Dùng cho các trường đại học khối Xã hội và Nhân văn

    • Authors: Đào Hữu Hồ (2007)

  • Một số khái niệm, kết quả cơ bản của xác suất và thống kê xã hội được trình bày qua các bài toán giải tích tổ hợp, phép thử và biến cố, biến ngẫu nhiên, hàm phân phối, các số đặc trưng của biến ngẫu nhiên, lí thuyết mẫu, ước lượng đơn giản, bài toán kiểm định giả thiết đơn giản, tương quan và hồi qui..
  • Sách/Book

  • Creating Web sites bible

    • Authors: Philip Crowder (2008)

  • Giới thiệu nền tảng căn bản của việc thiết kế các trang web. Đưa ra một số phương pháp tạo một trang web tư cơ bản cho đến chuyên nghiệp. Sử sử dụng các ngôn ngữ lập trình và những ứng dụng đối với hệ thống đa phương tiện
  • Sách/Book

  • Artificial Intelligence for Sustainable Applications

    • Authors: - (2023)

  • With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities
  • Sách/Book

  • Probability and statistics by example

    • Authors: Y. Suhov; M. Kelbert (2005)

  • Probability and Statistics are as much about intuition and problem solving, as they are about theorem proving. Because of this, students can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much in nature.
  • Sách/Book

  • Basic math & pre-algebra : all-in-one

    • Authors: Mark Zegarelli (2022)

  • Offers explanations of concepts such as whole numbers, fractions, decimals, and percents, and covers advanced topics including imaginary numbers, variables, and algebraic equations
  • Sách/Book

  • Probability and statistics

    • Authors: Morris H. DeGroot (1986)

  • The revision of this well-respected text presents a balance of the classical and Bayesian methods. The theoretical and practical sides of both probability and statistics are considered. New content areas include the Vorel- Kolmogorov Paradox, Confidence Bands for the Regression Line, the Correction for Continuity, and the Delta Method.
  • Sách/Book

  • Multiobjective Linear Programming

    • Authors: Dinh The Luc (2016)

  • This book introduces the reader to the field of multiobjective optimization through problems with simple structures, namely those in which the objective function and constraints are linear. Fundamental notions as well as state-of-the-art advances are presented in a comprehensive way and illustrated with the help of numerous examples. Three of the most popular methods for solving multiobjective linear problems are explained, and exercises are provided at the end of each chapter, helping students to grasp and apply key concepts and methods to more complex problems. The book was motivated by the fact that the majority of the practical problems we encounter in management science, engineering or operations research involve conflicting criteria and therefore it is more convenient to formu...