Best Selling Books by Peter Simon

Time Chords tells two deeply-felt stories based on true events: Stones: October, 1940. Joseph, an 8-year-old boy living on a farm in upstate New York is blindsided, then attacked and stoned by his classmates, an action set up by a manipulative, anti-Semitic teacher. Drowning: July, 1943, portrays the boy's first encounter with death. Joseph leads two rabbi's sons, breaking into a weeds grown-wild deserted lake closed for the war. Another boy appears and a macho war game ends in a tragic drowning. Followed by a fierce interrogation and, wrestling with guilt, a search for elusive truth.

🔍 R Programming for Statistical Analysis: Unlock the Power of Data-Driven Insights Master the R Language to Uncover the Hidden Patterns in Your Data — From Basics to Advanced Statistical Techniques! Are you ready to dive deep into statistical analysis using R? Whether you're a beginner in R programming or an aspiring data analyst looking to expand your skills, this hands-on guide will take you from zero to expert in using R for statistical analysis and real-world data applications. 📊 Why This Book Is Your Ultimate Guide: ✔️ Comprehensive & Practical: Learn to perform descriptive statistics in R, tackle inferential analysis, and unlock advanced modeling and multivariate techniques—all with clear explanations and real R code examples. ✔️ Built for Real Data: No fluff—only practical applications. You’ll explore datasets that reflect real-world challenges, giving you the confidence to apply your skills in any analytical role. ✔️ R + RStudio Mastery: Get comfortable using RStudio for statistical analysis and discover how to harness the power of the R statistical software ecosystem for any project. ✔️ Visualize Like a Pro: Master data visualization techniques that transform complex datasets into intuitive insights using R programming for data science. ✔️ Time Series & Beyond: Dive into time series analysis in R, predictive modeling, regression analysis, ANOVA, and more—paving your way to advanced analytics with clarity and confidence. 📚 What You’ll Learn: Foundations of R programming for statistical analysis Using R for statistical analysis: from data import to final report How to write R code for statistical analysis step-by-step Apply descriptive and inferential statistics using R language Understand multivariate statistics and machine learning in R Leverage data visualization and statistical modeling tools in R Gain fluency in statistical data analytics with R 🎯 Who Should Read This Book? Students of statistics and data science Professionals seeking R programming training Analysts who want to enhance their data-driven decision-making Anyone looking to learn R language from a statistical perspective Whether you're taking a machine learning with R course, studying statistical data analysis using R, or simply looking to learn R programming for data analysis, this book gives you everything you need to analyze data with confidence. ✅ Unlock the power of data. Learn R. Learn statistics. Start now.

This second edition of the book reflects the authors’ work to continually improve upon the model and to apply the methodology to a broader range of issues. The book includes: • An entirely new chapter on managing risk in programs, which is an important dimension in today’s world of ever more complex initiatives • Updated material and methodology more closely aligned with relevant international standards • Emphasis on minimizing the threats and maximizing the opportunities to optimize achievement of your project goals Based on sound principles and best practices, this book guides any member of the project management team in conducting risk management in a real-world environment.

This book is a comprehensive survey of the animal life of the Russian Empire and adjacent seas, compiled by two prominent naturalists of the late 18th and early 19th centuries. The book includes detailed descriptions and illustrations of a wide range of species, along with information on their habitats, behavior, and anatomy. It is an invaluable resource for anyone interested in the natural history of this region. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.