Biostatistics by Example Using SAS Studio PDF Purpose SAS University Edition and its user interface, SAS Studio, have become very popular. SAS Studio can also be used with standard versions of SAS, perhaps as an alternative to SAS Enterprise Guide. SAS Studio includes built-in tasks for importing data from external files (Excel, for example) and, best of all, it includes point-and-click statistical tasks for just about any statistical study. This book will benefit the reader by doing the following: 1. Providing step-by-step instructions, complete with screen shots, of how to use SAS University Edition and SAS Studio to perform most statistical queries. 2. Discussing the theory behind each statistical test, with emphasis on the assumptions that need to be satisfied before running each test. 3. Helping the reader negotiate some of the trickier aspects of running SAS University Edition. For example, this book explains how to access files on a local hard drive and make them available on the virtual machine where SAS is running. 4. Providing a detailed explanation of the output produced by each statistical procedure. 5. Presenting practice problems (with solutions to the odd-numbered problems). Is This Book for You? The audience for this book consists mostly of students in a statistics or a biostatistics class. Although the book uses biostatistical examples, students in other classes such as educational or business statistics will also benefit. In addition, data analysts in the pharmaceutical industry will also find valuable information in this book. Prerequisites There is NO prerequisite for readers of this book. It is written with the assumption that the reader has never used SAS before. Scope of This Book The first section of this book explains how to install the SAS University Edition and the virtualization software needed to run it. Readers of this book may also be using SAS Studio with a standard edition of SAS (as opposed to the SAS University Edition).
2020-01-21 03:08:53 11.34MB sas Studio Biostatistic 生统
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Filled with helpful examples and real-life projects of SAS users, A Recipe for Success Using SAS University Edition is an easy guide on how to start applying the analytical power of SAS to real-world scenarios. This book shows you: • how to start using analytics • how to use SAS to accomplish a project goal • how to effectively apply SAS to your community or school • how users like you implemented SAS to solve their analytical problems A beginner’s guide on how to create and complete your first analytics project using SAS University Edition, this book is broken down into easy-to-read chapters that also include quick takeaway tips. It introduces you to the vocabulary and structure of the SAS language, shows you how to plan and execute a successful project, introduces you to basic statistics, and it walks you through case studies to inspire and motivate you to complete your own projects. Following a recipe for success using this book, harness the power of SAS to plan and complete your first analytics project!
2020-01-21 03:05:46 6.72MB SAS
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2019 Multilevel Modeling using R 2019 Multilevel Modeling using R
2020-01-13 03:16:56 5.41MB 2019 Multilevel
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FunctionalReactiveProgrammingOniOS, Functional reactive programming introduction using ReactiveCocoa 中文译本
2020-01-11 03:13:01 4.61MB 开源
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Programming -- Principles and Practice Using C++ (Second Edition) http://stroustrup.com/Programming/
2020-01-10 03:13:56 35.59MB Principles Practice C++ (Second
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应用分子印记固相萃取法结合高效液相色谱测定池塘水及三种鱼肉中磺胺甲基嘧啶含量,郭琳媛,姜晓满,本文合成并评价了一种作为固相萃取材料的分子印记聚合物,并结合高效液相色谱,有效测定了池塘水及三种鱼肉中磺胺甲基嘧啶的含量
2020-01-09 03:12:34 250KB 首发论文
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Over the past few decades, mathematical models have become an increasingly important tool for Earth scientists to understand and make predictions about how our planet functions and evolves through time and space. These models often consist of partial differential equations (PDEs) that are discretized with a numerical method and solved on a computer.Themost commonly used discretization methods are the finite difference method (FDM), the finite volume method, the finite element method (FEM), the discrete element method, the boundary element method, and various spectral methods.
2020-01-08 03:12:12 4.88MB matlab 有限元建模
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Data Structures With C++ Using STL(中文版).pdf 数据结构C++描述应用STL
2020-01-07 03:05:57 21.25MB 数据结构与算法
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As digital circuit elements decrease in physical size, resulting in increasingly complex systems, a basic logic model that can be used in the control and design of a range of semiconductor devices is vital. Finite State Machines (FSM) have numerous advantages; they can be applied to many areas (including motor control, and signal and serial data identification to name a few) and they use less logic than their alternatives, leading to the development of faster digital hardware systems. This clear and logical book presents a range of novel techniques for the rapid and reliable design of digital systems using FSMs, detailing exactly how and where they can be implemented. With a practical approach, it covers synchronous and asynchronous FSMs in the design of both simple and complex systems, and Petri–Net design techniques for sequential/parallel control systems. Chapters on Hardware Description Language cover the widely–used and powerful Verilog HDL in sufficient detail to facilitate the description and verification of FSMs, and FSM based systems, at both the gate and behavioural levels. Throughout, the text incorporates many real–world examples that demonstrate designs such as data acquisition, a memory tester, and passive serial data monitoring and detection, among others. A useful accompanying CD offers working Verilog software tools for the capture and simulation of design solutions. With a linear programmed learning format, this book works as a concise guide for the practising digital designer. This book will also be of importance to senior students and postgraduates of electronic engineering, who require design skills for the embedded systems market.
2020-01-03 11:43:26 2.91MB FSM ,Verilog HDL
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1、Xue Mei 的 Robust Visual Tracking using L1 Minimization; 2、有代码有论文,也有相关论文。 3、代码有大量的中文介绍。不同于其他的源代码。非常适合初学者。 4、希望能一起交流学习
2020-01-03 11:36:00 22.38MB L1最小化 视觉跟踪 稀疏表示 MATLAB
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