Probability and Stochastic Processes: Work Examples
暫譯: 機率與隨機過程：實作範例
Odile Pons
- 出版商: World Scientific Pub
- 出版日期: 2020-03-23
- 售價: $1,800
- 貴賓價: 9.5 折 $1,710
- 語言: 英文
- 頁數: 250
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9811214468
- ISBN-13: 9789811214462
-
相關分類:
機率統計學 Probability-and-statistics
立即出貨 (庫存 < 4)
買這商品的人也買了...
-
Computers & Typesetting, Volumes A-E Boxed Set$7,850$7,458 -
The Art of Computer Programming, Volume 4A: Combinatorial Algorithms, Part 1 (Hardcover)$2,980$2,831 -
Electricity and Magnetism, 3/e (Hardcover)$1,760$1,725 -
The Principles of Quantum Mechanics, 4/e (Hardcover)$1,890$1,796 -
近代物理 (Beiser)(授權經銷版)$820$779 -
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis, 2/e (Hardcover)$1,680$1,646 -
R語言 -- 邁向 Big Data之路 (最新版)$580$493 -
量子力學$660$647 -
Quantum Computing for Everyone$1,130$1,074 -
Cryptography Apocalypse: Preparing for the Day When Quantum Computing Breaks Today's Crypto$1,240$1,178 -
$1,450Probability: Theory and Examples, 5/e (Hardcover) -
Game Theory for Next Generation Wireless and Communication Networks: Modeling, Analysis, and Design (Harccover)$1,750$1,715 -
Nonparametric Econometrics$2,650$2,518 -
演算法：最強彩色圖鑑 + Python程式實作 -- 王者歸來 (全彩印刷)$680$537 -
非監督式學習｜使用 Python (Hands-On Unsupervised Learning Using Python)$680$537 -
Mathematics for Machine Learning (Paperback)$1,480$1,450 -
Stochastic Processes: Basic Theory and Its Applications$3,920$3,724 -
從零開始讀懂量子力學$270$257 -
GAN 對抗式生成網路 (GANs in Action: Deep learning with Generative Adversarial Networks)$750$592 -
Quantum Computing for Everyone$800$760 -
Diagnostic Methods in Time Series$2,960$2,812 -
Arbitrage Theory in Continuous Time (Hardcover)$1,200$1,176 -
零時差攻擊：一秒癱瘓世界！《紐約時報》記者追蹤7年、訪問逾300位關鍵人物，揭露21世紀數位軍火地下產業鏈的暗黑真相$550$468 -
Linear Algebra and Matrix Analysis for Statistics (Hardcover)$4,070$3,867 -
Complex Variables: A Physical Approach with Applications and MATLAB (Hardcover)$3,600$3,420
相關主題
商品描述
The book is intended to undergraduate students, it presents exercices and problems with rigorous solutions covering the mains subject of the course with both theory and applications.The questions are solved using simple mathematical methods: Laplace and Fourier transforms provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions for random variables and processes: Bernoulli, multinomial, exponential, Gamma, Beta, Dirichlet, Poisson, Gaussian, Chi2, ordered variables, survival distributions and processes, Markov chains and processes, Brownian motion and bridge, diffusions, spatial processes.
商品描述(中文翻譯)
本書旨在為大學本科生而設，提供了涵蓋課程主要主題的練習題和問題，並附有嚴謹的解答，包含理論與應用。這些問題使用簡單的數學方法進行解決：拉普拉斯變換（Laplace transforms）和傅立葉變換（Fourier transforms）提供了隨機變數序列主要收斂結果的直接證明。本書研究了隨機變數和過程的各種分佈函數：伯努利（Bernoulli）、多項式（multinomial）、指數（exponential）、伽瑪（Gamma）、貝塔（Beta）、狄利克雷（Dirichlet）、泊松（Poisson）、高斯（Gaussian）、卡方（Chi2）、有序變數、生存分佈和過程、馬可夫鏈（Markov chains）和過程、布朗運動（Brownian motion）及橋接（bridge）、擴散（diffusions）、空間過程。
