BOOKS - NATURAL SCIENCES - An Introduction to Mathematical Statistics
An Introduction to Mathematical Statistics - Fetsje Bijma, Marianne Jonker, Aad van der Vaart 2017 PDF Amsterdam University Press BOOKS NATURAL SCIENCES
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An Introduction to Mathematical Statistics
Author: Fetsje Bijma, Marianne Jonker, Aad van der Vaart
Year: 2017
Pages: 385
Format: PDF
File size: 13,8 MB
Language: ENG



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Book Description: An Introduction to Mathematical Statistics Author: [Authors' Names] 2017 385 Genre: Non-Fiction, Education, Statistics Synopsis: In "An Introduction to Mathematical Statistics the authors provide a comprehensive introduction to the field of statistics, focusing on the key concepts of estimators, hypothesis tests, and confidence regions. The book is designed for students who have a basic knowledge of probability theory, calculus, and linear algebra, and it aims to help readers develop an intuitive understanding of statistical methods rather than simply memorizing formulas. The book begins with an overview of the history of statistics and its importance in modern society, highlighting the need for a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for human survival. The authors argue that understanding statistics is crucial for making informed decisions in today's data-driven world and for contributing to the unification of people in a warring state. They emphasize the importance of adapting statistical methods to real-world problems and using them to analyze and interpret data effectively.
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A Introduction to Mathematical Statistics Author: [Authors'Names] 2017 385 Genre: Non-Fiction、 Education、 Statistics Synopsis: 「A Introduction to Mathematical Statics」では、評価者、仮説、テストの主要概念に焦点を当てて統計の分野を総合的に紹介している自信の領域。本書は、確率論、微分、線形代数の基礎知識を持つ学生を対象としており、単に数式を暗記するのではなく、統計的手法を直感的に理解することを目的としています。本書は、統計の歴史と現代社会におけるその重要性のレビューから始まり、人間の生存の基礎としての現代知識の発展の技術的プロセスの認識のための個人的パラダイムの必要性を強調した。著者たちは、統計を理解することは、今日のデータ主導の世界における情報に基づいた意思決定のために不可欠であり、戦争状態にある人々の統一を促進するために不可欠であると主張している。両首脳は、統計的手法を現実世界の問題に適応させ、データを効果的に分析して解釈することの重要性を強調する。

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