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Spring FrameworkFramework/SPRING 2020. 2. 6. 13:26
1. Overview Check how to improve the reusability of SW, the Relationship between design pattern and framework, and Spring framework Components. 1.1 Plain Old Java Object (POJO) Objects which are no need to inherit specific parent or environment but only JVM. So MyServlet which extends HttpServlet and runs on Web Container is not POJO. 1.2 Portable Service Abstraction (PSA) Separate complex low-l..
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Is-A and Has-A Relationship in JavaStaticPL/JAVA 2020. 2. 5. 20:39
1. Overview IS-A Relationship: The concept of IS-A is totally based on Inheritance, which can be of two types Class Inheritance or Interface Inheritance. It is just like saying "A is a B type of thing". For example, Apple is a Fruit, Car is a Vehicle etc. Inheritance is uni-directional. For example, House is a Building. But Building is not a House. It is a key point to note that you can easily i..
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Power and Effective sizeStats/Inferential 2020. 2. 5. 18:29
1. Overview 2. Description 2.1 Power ($1-\beta$) The probability of correctly rejecting a false null hypothesis $$Power=P(reject\: H_{0}|H_{1}\: is\: true)=1-\underbrace{P(not\: rejecting\: H_{0}|H_{0}\: false)}_{Type\: 2\: error}\\=1-\beta=P(not\: making\: Type\: 2\: error)$$ Particular Interpretation Sample Size Larger sample more power Effect Size Larger Effect sieze more power Alpha Level Hi..
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Probability space, Sample space, Event, and Elementary eventMath/Probability 2020. 2. 5. 12:33
1. Overview Probability space or a probability triple $(\Omega ,F,P)$ is a mathematical construct that models a real-world process (or “experiment”) consisting of states that occur randomly. Sample space (also called sample description space or possibility space) of an experiment or random trial is the set of all possible outcomes or results of that experiment. Event is a set of outcomes of an e..
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Conditional expectationMath/Probability 2020. 2. 5. 11:18
1. Overview In probability theory, the conditional expectation of a random variable is its expected value – the value it would take “on average” over an arbitrarily large number of occurrences – given that a certain set of "conditions" is known to occur 2. Description 2.1 Formula ith two random variables, if the expectation of a random variable X is expressed conditional on another random variab..
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Relationship of Thread, Process, OS, and MemoryModeling/Architecture 2020. 2. 4. 15:13
1. Overview When we turn on our computer a special program called the operating system is loaded from the disk into the memory. The operating system takes over and provides an abstraction for us the application developers and helps us interact with the hardware and the CPU so we can focus on developing our apps. All our applications such as the text editor a web browser or a music player reside ..
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Lack-of-fit sum of squares and Pure-error sum of squaresStats/Inferential 2020. 2. 4. 12:17
1. Overview In statistics, a sum of squares due to lack of fit, or more tersely a lack-of-fit sum of squares, is one of the components of a partition of the sum of squares of residuals in an analysis of variance, used in the numerator in an F-test of the null hypothesis that says that a proposed model fits well. The other component is the pure-error sum of squares. 2. Description 2.1 Intuition $..
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Spring MVC and Request Life CycleFramework/SPRING 2020. 2. 3. 13:29
1. Overview 1.1 Spring MVC Spring MVC is a web application framework that implements the Model View Controller pattern. It allows to implement controller classes equipped with mapping annotations to map HTTP requests into method invocations and bind request parameters and payloads to method arguments. @RestController // 1 class MyController { @GetMapping("/hello") // 2 String sayHelloTo(@Request..