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  • Sách/Book


  • Authors: Trần Quốc Vượng (2006)

  • Các khái niệm cơ bản về văn hoá và văn hoá học... Cấu trúc, các thiết chế và chức năng của văn hoá. Điển hình lịch sử của văn hoá Việt Nam. Không gian văn hoá Việt Nam

  • Sách/Book


  • Authors: Trần Thị Minh Đức (2012)

  • Tìm hiểu khái niệm tham vấn tâm lí. Sơ lược lịch sử hình thành và phát triển ngành tham vấn tâm lí. Các lí thuyết tiếp cận cá nhân trong tham vấn tâm lí. Nhà tham vấn và thân chủ trong mối quan hệ tham vấn tâm lí...

  • Sách/Book


  • Authors: Trương Thị Khánh Hà (2015)

  • Tâm lý học phát triển là một chuyên ngành của tâm lý học, nghiên cứu nguồn gốc, động lực, cơ chế, quy luật và các điều kiện của sự phát triển tâm lý con người, với tư cách là thành viên của xã hội, qua các giai đoạn của cuộc đời.

  • Sách/Book


  • Authors: Anthony Almudevar. (2021)

  • "The purpose of applying mathematical theory to the theory of statistical inference is to make it simpler and more elegant. Theory of Statistical Inference is concerned with the development of a type of optimization theory which can be used to inform the choice of statistical methodology. Of course, this would be pointless without reference to such methods. We are simply noting that they are included in support of the larger goal. This book distinguishes itself from other graduate textbooks because it is written from the point of view that some degree of understanding of measure theory, as well as other branches of mathematics, which include topology, group theory and complex analysis, should be a part of the canon of statistical inference

  • Sách/Book


  • Authors: Robert V. Hogg (2006)

  • This classic book retains its outstanding ongoing features and continues to provide readers with excellent background material necessary for a successful understanding of mathematical statistics. Chapter topics cover classical statistical inference procedures in estimation and testing, and an in-depth treatment of sufficiency and testing theory—including uniformly most powerful tests and likelihood ratios. Many illustrative examples and exercises enhance the presentation of material throughout the book. For a more complete understanding of mathematical statistics.

  • Sách/Book


  • Authors: Narasimha Karumanchi (2011)

  • A handy guide of sorts for any computer Science professional, data structures and algorithms made easy in Java: data structure and algorithmic puzzles is a solution Bank for various complex problems related to data structures and algorithms.

  • Sách/Book


  • Authors: Larry Wasserman (2006)

  • This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory

  • Sách/Book


  • Authors: David M. Mount (2011)

  • The first will be a short review of some preliminary material, including asymptotics, summations, and recurrences and sorting. We will then discuss approaches to designing optimization algorithms, including dynamic programming and greedy algorithms.