# Statistical Analysis with Swift: Data Sets, Statistical Models, and Predictions on Apple Platforms

• 出版商:
• 出版日期: 2021-10-31
• 售價: \$1,980
• 貴賓價: 9.5\$1,881
• 語言: 英文
• 頁數: 230
• 裝訂: Quality Paper - also called trade paper
• ISBN: 1484277643
• ISBN-13: 9781484277645
• 相關分類:
• 立即出貨 (庫存 < 3)

## 商品描述

Chapter 1: Swift Primer

- Introduction to Swift and its pros when working with large data sets

- Provided data sets and how to load them using the Decodable protocol

- Higher-Order Functions (map, filter, reduce, apply)

Chapter 2: Introduction to Probability and Random Variables

- What is a random variable?

- Sample spaces

- Laws and axioms of probability

- Variable Independence

- Conditional probability

Chapter 3: Distributions and Random Numbers

- Mass and density functions

- Discrete distributions

- Discrete uniform distribution

- Bernoulli trials

- Binomial distribution

- Poisson distribution

- Continuous distributions

- Continuous uniform distribution

- Exponential distribution

- Normal distribution

- Implement a random number generator that samples from a given distribution

Chapter 4: Predicting House Sale Prices with Linear Regression

- Central tendency measures

- Variance measures

- Association measures

- Stratification of data

- Linear regression

Chapter 5: Hypothesis Testing

- T Testing

- Null and Alternative Hypotheses

- P-value

- Determining sample sizes

Chapter 6: Data Compression Using Statistical Methods

- Measurement scales

- Calculate the distribution of example data

- Compute a Huffman Tree

- Encode the original data in a smaller package

- &nb

## 商品描述(中文翻譯)

- 介紹Swift及其在處理大型數據集時的優勢
- 提供的數據集以及如何使用Decodable協議加載它們
- 高階函數（map、filter、reduce、apply）

- 什麼是隨機變量？
- 樣本空間
- 概率的法則和公理
- 變量獨立性
- 條件概率

- 質量和密度函數
- 離散分佈
- 離散均勻分佈
- 伯努利試驗
- 二項分佈
- 泊松分佈
- 連續分佈
- 連續均勻分佈
- 指數分佈
- 正態分佈
- 實現從給定分佈中抽樣的隨機數生成器

- 中心趨勢測量
- 方差測量
- 相關性測量
- 數據分層
- 線性回歸

- T檢驗
- 零假設和對立假設
- P值
- 確定樣本大小

- 測量尺度
- 計算示例數據的分佈
- 計算Huffman樹
- 將原始數據編碼為較小的包裹