Data Communications and Computer Networks: A Business User`s Approach (9版)

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●“REMEMBER THIS…” INSTALLMENTS DIRECT STUDENTS TO CONSIDER CONCEPTS WITHIN A LARGER CONTEXT. These interesting learning features encourage readers to thinking about how the principles they've just studied fit into the "big picture." Students do this for each section before progressing to the next section. ●"OUTSIDE THE BOX" EXERCISES EXTEND LEARNING BEYOND THE CHAPTER'S PRINTED CONCEPTS. These special exercises, embedded throughout each chapter, challenge students to explore ideas beyond those explicitly outlined in the chapter. This broadens students' professional skills, while sharpening their critical thinking. ●“SELF-CHECK” QUESTIONS HELP STUDENTS DEVELOP METACOGNITION SKILLS. This proven, self-guided review ensures students understand the material while encouraging higher-order thinking skills. Solutions for this self-guided review appear in an appendix. ●UPDATED DISCUSSION PROMPTS AND GRADING RUBRICS ENCOURAGE EFFECTIVE LIFELONG LEARNING HABITS. Thought-provoking discussion prompts throughout this edition, as well as easy-to-follow grading rubrics, encourage students to reflect on their learning progress. These proven features help you foster and support the development of positive lifelong learning habits. 目錄 1. Introduction to Data Communications and Computer Networks. 2. Conducted and Radiated Media. 3. Fundamentals of Data and Signals. 4. Frames and Errors. 5. Wired and Wireless Local Area Networks. 6. Network Systems and Software. 7. The Internet. 8. Risk, Security, and Compliance. 9. Wide Area Networks. 10. Connecting Networks and Resources. 11. Network Design and Management. 12. Business Principles in IT.

Linear Mixed Models A Practical Guide (3版)

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Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition continues to lead readers step-by-step through the process of fitting LMMs. The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples have been updated, with a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included, and there is a new chapter on power analysis for mixed-effects models. Features:•Dedicates an entire chapter to the key theories underlying LMMs for clustered, longitudinal, and repeated measures data •Provides descriptions, explanations, and examples of software code necessary to fit LMMs in SAS, SPSS, R, Stata, and HLM •Contains detailed tables of estimates and results, allowing for easy comparisons across software procedures •Presents step-by-step analyses of real-world data sets that arise from a variety of research settings and study designs, including hypothesis testing, interpretation of results, and model diagnostics •Integrates software code in each chapter to compare the relative advantages and disadvantages of each package •Supplemented by a website with software code, datasets, additional documents, and updates Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.