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TSMC. Taiwan Semiconductor Manufacturing Company Limited ( TSMC; also called Taiwan Semiconductor) [4] [5] is a Taiwanese multinational semiconductor contract manufacturing and design company. It is the world's second-most valuable semiconductor company, [6] the world's largest dedicated independent ("pure-play") semiconductor foundry, [7] and ...
- 73,090 (2022)
- US$73.67 billion (2022)
Taiwan,[II][k] officially the Republic of China (ROC),[I][l] is a country[27] in East Asia.[o] It is located at the junction of the East and South China Seas in the northwestern Pacific Ocean, with the People's Republic of China (PRC) to the northwest, Japan to the northeast, and the Philippines to the south. The territories controlled by the ...
Principal component analysis ( PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing . The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
Alibaba Group Holding Limited, branded as Alibaba, is a Chinese multinational technology company specializing in e-commerce, retail, Internet, and technology. Founded on 28 June 1999 [1] in Hangzhou, Zhejiang, the company provides consumer-to-consumer (C2C), business-to-consumer (B2C), and business-to-business (B2B) sales services via Chinese ...
- History
- Regression Model
- Underlying Assumptions
- Linear Regression
- Nonlinear Regression
- Prediction
- Power and Sample Size Calculations
- Other Methods
- Software
- Further Reading
The earliest form of regression was the method of least squares, which was published by Legendre in 1805, and by Gauss in 1809. Legendre and Gauss both applied the method to the problem of determining, from astronomical observations, the orbits of bodies about the Sun (mostly comets, but also later the then newly discovered minor planets). Gauss pu...
In practice, researchers first select a model they would like to estimate and then use their chosen method (e.g., ordinary least squares) to estimate the parameters of that model. Regression models involve the following components: 1. The unknown parameters, often denoted as a scalar or vector β {\displaystyle \beta } . 2. The independent variables...
By itself, a regression is simply a calculation using the data. In order to interpret the output of regression as a meaningful statistical quantity that measures real-world relationships, researchers often rely on a number of classical assumptions. These assumptions often include: 1. The sample is representative of the population at large. 2. The i...
In linear regression, the model specification is that the dependent variable, y i {\displaystyle y_{i}} is a linear combination of the parameters (but need not be linear in the independent variables). For example, in simple linear regression for modeling n {\displaystyle n} data points there is one independent variable: x i {\displaystyle x_{i}} , ...
When the model function is not linear in the parameters, the sum of squares must be minimized by an iterative procedure. This introduces many complications which are summarized in Differences between linear and non-linear least squares.
Regression models predict a value of the Y variable given known values of the X variables. Prediction within the range of values in the dataset used for model-fitting is known informally as interpolation. Prediction outside this range of the data is known as extrapolation. Performing extrapolation relies strongly on the regression assumptions. The ...
There are no generally agreed methods for relating the number of observations versus the number of independent variables in the model. One method conjectured by Good and Hardin is N = m n {\displaystyle N=m^{n}} , where N {\displaystyle N} is the sample size, n {\displaystyle n} is the number of independent variables and m {\displaystyle m} is the ...
Although the parameters of a regression model are usually estimated using the method of least squares, other methods which have been used include: 1. Bayesian methods, e.g. Bayesian linear regression 2. Percentage regression, for situations where reducing percentageerrors is deemed more appropriate. 3. Least absolute deviations, which is more robus...
All major statistical software packages perform least squares regression analysis and inference. Simple linear regression and multiple regression using least squares can be done in some spreadsheetapplications and on some calculators. While many statistical software packages can perform various types of nonparametric and robust regression, these me...
William H. Kruskal and Judith M. Tanur, ed. (1978), "Linear Hypotheses," International Encyclopedia of Statistics. Free Press, v. 1,
SWOT analysis (or SWOT matrix) is a strategic planning and strategic management technique used to help a person or organization identify Strengths, Weaknesses, Opportunities, and Threats related to business competition or project planning. It is sometimes called situational assessment or situational analysis.[1] Additional acronyms using the ...
USD /JPY exchange rate 1971–2023. The yen ( Japanese: 円, symbol: ¥; code: JPY) is the official currency of Japan. It is the third-most traded currency in the foreign exchange market, after the United States dollar and the euro. [2] It is also widely used as a third reserve currency after the US dollar and the euro.
