Introductory Statistics and Random Phenomena : Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Modern Birkhauser Classics) / Denker, Manfred/ Woyczynski, Wojbor Andrzej

統計学・ランダム現象入門：理工学における不確実性・複雑性・カオス現象（テキスト）<br>Introductory Statistics and Random Phenomena : Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Modern Birkhauser Classics)

個数：

統計学・ランダム現象入門：理工学における不確実性・複雑性・カオス現象（テキスト）
Introductory Statistics and Random Phenomena : Uncertainty, Complexity and Chaotic Behavior in Engineering and Science (Modern Birkhauser Classics)

Denker, Manfred/ Woyczynski, Wojbor Andrzej

ウェブストア価格 ¥18,878（本体¥17,162）
Birkhauser Verlag AG（2017/09発売）
外貨定価 US$ 89.99
ポイント 171pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 509 p.
商品コード 9783319661513

Full Description

This textbook integrates traditional statistical data analysis with new computational experimentation capabilities and concepts of algorithmic complexity and chaotic behavior in nonlinear dynamic systems. This was the first advanced text/reference to bring together such a comprehensive variety of tools for the study of random phenomena occurring in engineering and the natural, life, and social sciences.
The crucial computer experiments are conducted using the readily available computer program Mathematica® Uncertain Virtual Worlds™ software packages which optimize and facilitate the simulation environment. Brief tutorials are included that explain how to use the Mathematica® programs for effective simulation and computer experiments. Large and original real-life data sets are introduced and analyzed as a model for independent study.
This is an excellent classroom tool and self-study guide. The material is presented in a clear and accessible style providing numerous exercises and bibliographical notes suggesting further reading.
Topics and Features

Comprehensive and integrated treatment of uncertainty arising in engineering and scientific phenomena - algorithmic complexity, statistical independence, and nonlinear chaotic behavior

Extensive exercise sets, examples, and Mathematica® computer experiments that reinforce concepts and algorithmic methods

Thorough presentation of methods of data compression and representation

Algorithmic approach to model selection and design of experiments

Large data sets and 13 Mathematica®-based Uncertain Virtual Worlds™ programs and code

This text is an excellent resource for all applied statisticians, engineers, and scientists who need to use modern statistical analysis methods to investigate and model their data. The present, softcover reprint is designed to make this classic textbook available to a wider audience.

Preface.- Introduction.- Notation and Abbreviations.- Part I: Descriptive Statistics - Compressing Data.- Why One Needs to Analyze Data.- Data Representation and Compression.- Analytics Representation of Random Experimental Data.- Part II: Modeling Uncertainty.- Algorithmic Complexity and Random Strings.- Statistical Independence and Kolmogorov's Probability Theory.- Chaos in Dynamical Systems: How Uncertainty Arises in Scientific and Engineering Phenomena.- Part III: Model Specification Design of Experiments.- General Principles of Statistical Analysis.- Statistical Inference for Normal Populations.- Analysis of Variance.- Appendix A: Uncertainty Principle in Signal Processing and Quantum Mechanics.- Appendix B: Fuzzy Systems and Logic.- Appendix C: A Critique of Pure Reason.- Appendix D: The Remarkable Bernoulli Family.- Uncertain Virtual Worlds Mathematica Packages.- Appendix F: Tables.- Index.