The text is devoted to the Software Analysis and Testing (SAT) methods and supporting tools for assessing and, if possible, improving software quality, specifically its correctness. The term quality assurance is avoided for it is this author’s firm
Abstract：This paper analyzes the potential eHor sources in the indOOr test system fOr baSe station antenna and proves theOretically that the abSOrber charnber haS a11 important influence on the measuring results(Voltage Standing WaVe Ratjo—VSWR，IS01
一本SAS学习的很好的教程！ Data Analysis Using SAS Enterprise Guide This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface(point and click) to the main SAS appli
Research involves the collection and analysis of data. The SAS system is a powerful software program designed to give researchers a wide variety of both data management and data analysis capabilities. Although SAS has millions of users worldwide, it
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the data lies. For projective methods, we review projection pursuit, princip
Data Structures and Algorithm Analysis in C： This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need
以下内容摘自该书的导言部分：This book introduces a systems engineering method which guides the development of software and embedded hardware{software systems seamlessly from requirements capture to their implementation. It helps the designer to cope with the thre
Inequalities: Theory of Majorization and Its Applications I Theory of Majorization 1 Introduction 3 A Motivation and Basic Definitions . . . . . . . . . . 3 B Majorization as a Partial Ordering . . . . . . . . . 18 C Order-Preserving Functions . . .
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction
The narrative presented by Byambajav Dalaibuyan and Julian Dierkes in Chapter 7 gives a less favorable picture than is suggested by these indicators. The analysis highlights a declining trust in Mongolia in the country’s institutions, and a politi
