Monte Carlo Analysis
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Monte Carlo Simulation Power Analysis Using Mplus and R
Planning effective research investigations requires sophisticated power analysis techniques. This book provides readers with clearly explained tools for using Monte Carlo simulations to estimate the needed sample sizes for adequate statistical power for a variety of modern research designs. Featuring step-by-step instructions, chapters move from simpler cross-sectional designs and path tracing rules to advanced longitudinal designs, while incorporating mediation, moderation, and missing data considerations. Worked-through applied examples with annotated Mplus and R syntax scripts, sample power analysis write-ups, and end-of-chapter suggested readings are also included. The companion website offers Mplus and R code for four additional power analysis models--latent variable moderation, discrete- and continuous-time survival analyses, cross-sectional and longitudinal two-level models, and moderated mediation--as well as supplemental computational materials.
Tolerance Design of Electronic Circuits
Tolerance design techniques are playing an increasingly important role in maximizing the manufacturing yield of mass-produced electronic circuits. Tolerance Design of Electronic Circuits presents an account of design and analysis methods used to minimize the unwanted effects of component tolerances.Highlights of the book include? An overview of the concepts of Tolerance Analysis and Design? A detailed discussion of the Statistical Exploration Approach to tolerance design? An engineering discussion of the Monte Carlo statistical method? A presentation of several successful examples of the application of tolerance designThis book will be highly appropriate for professional Electronic Circuit Designers, Computer Aided Design Specialists, Electronic Engineering undergraduates and graduates taking courses in Advanced Electronic Circuit Design.
Monte Carlo Simulation
Aimed at researchers across the social sciences, this book explains the logic behind the Monte Carlo simulation method and demonstrates its uses for social and behavioural research.