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Compact Mosfet Models For Vlsi Design

RRP $283.99

Practicing designers, students, and educators in the semiconductor field face an ever expanding portfolio of MOSFET models. In "Compact MOSFET Models for VLSI Design," A.B. Bhattacharyya presents a unified perspective on the topic, allowing the practitioner to view and interpret device phenomena concurrently using different modeling strategies. Readers will learn to link device physics with model parameters, helping to close the gap between device understanding and its use for optimal circuit performance. Bhattacharyya also lays bare the core physical concepts that will drive the future of VLSI development, allowing readers to stay ahead of the curve, despite the relentless evolution of new models.

Adopts a unified approach to guide students through the confusing array of MOSFET models Links MOS physics to device models to prepare practitioners for real-world design activities Helps fabless designers bridge the gap with off-site foundries Features rich coverage of: quantum mechanical related phenomena Si-Ge strained-Silicon substrate non-classical structures such as Double Gate MOSFETs Presents topics that will prepare readers for long-term developments in the field Includes solutions in every chapter Can be tailored for use among students and professionals of many levels Comes with MATLAB code downloads for independent practice and advanced study

This book is essential for students specializing in VLSI Design and indispensible for design professionals in the microelectronics and VLSI industries. Written to serve a number of experience levels, it can be used either as a course textbook or practitioner's reference.

Access the MATLAB code, solution manual, and lecture materials at the companion website: www.wiley.com/go/bhattacharyya


Designing Experiments And Analyzing Data

RRP $278.99

Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs.
Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books.
Several learning tools further strengthen the reader's understanding:
*flowcharts assist in choosing the most appropriate technique;
*an equation cross-referencing system aids in locating the initial, detailed definition and numerous summary equation tables assist readers in understanding differences between different methods for analyzing their data;
*examples based on actual research in a variety of behavioral sciences help students see the applications of the material;
*numerous exercises help develop a deeper understanding of the subject. Detailed solutions are provided for some of the exercises and *realistic data sets allow the reader to see an analysis of data from each design in its entirety.
Updated throughout, the second edition features:
*significantly increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation for complex and simple designs;
*an increased use of statistical packages and the graphical presentation of data;
*new chapters (15 & 16) on multilevel models;
*the current controversies regarding statistical reasoning, such as the latest debates on hypothesis testing (ch. 2);
*a new preview of the experimental designs covered in the book (ch. 2);
*a CD with SPSS and SAS data sets for many of the text exercises, as well as tutorials reviewing basic statistics and regression; and
*a Web site containing examples of SPSS and SAS syntax for analyzing many of the text exercises.
Appropriate for advanced courses on experimental design or analysis, applied statistics, or analysis of variance taught in departments of psychology, education, statistics, business, and other social sciences, the book is also ideal for practicing researchers in these disciplines. A prerequisite of undergraduate statistics is assumed. An Instructor's Solutions Manual is available to those who adopt the book for classroom use.


Single-case And Small-n Experimental Designs

RRP $242.99

This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book's website so that users can run analyses of the text data as well as data from their own studies.

The new edition features:

  • More explanation as to why randomization tests are useful and how to apply them.
  • More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology.
  • A website with the macros and datasets for all of the text examples in IBM SPSS and Excel.
  • Exercises at the end of most chapters that help readers test their understanding of the material.
  • A new glossary that defines the key words that appear in italics when they are first introduced.
  • A new appendix that reviews the basic skills needed to do randomization tests.
  • New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book.

The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own.

Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book's accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.


Web History Tools And Revisitation Support

RRP $244.99

Web History Tools and Revisitation Support summarizes existing knowledge about revisitations on the web, and surveys the potential of graphic based web history tools. A taxonomy of revisit-types distinguishes between short-, medium-, and long-term revisits, but also intra- and inter-session revisits. Assisted by a clear nomenclature this provides more clarity to the current discussion. The potential use of graphic based tools is analyzed and discussed with respect to the found categories. The value of the current, mainly non-graphical history tools, such as back button, bookmarks, history list, search engines, and search bars is examined and related to the potential offered by graphic based tools. Web History Tools and Revisitation Support provides summaries of key studies and bodies of research for those who are interested in improving the web users' experience by simplifying the processes of going back to resources visited seconds, minutes, hours, weeks, or even months ago. It is meant for developers and researchers, browser and search engine producers, web usability professionals, and those who feel an irresistible urge to creatively innovate the web. The time has come to design and offer more appropriate history support. This book provides a foundation, as well as valuable ideas for doing so.


Primary Design And Technology

RRP $503.99



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