Ross Leadbetter

Classrooms are continuously becoming harder places to work. There are discipline and engagement challenges, a relentless pace, high expectations, and so much to cover. The Cycle of Authentic Relevant Engagement (C.A.R.E.) is a simple, proven experiential learning method that will develop your ability to turn everything around and make you a superstar Through the proof of over 400 research studies, we can point to C.A.R.E. as a motivating, engaging learning method that erases most discipline problems and engages students and teachers on an adventurous learning journey Use the same curriculum you use today. Include important competencies in your students' learning - like critical thinking, collaboration, creativity, grit, and self-direction - and, do it all in an authentic, place-based experience. C.A.R.E. is adaptable and it is useful in every grade of schooling, including colleges, universities, alternate schooling, and business settings. This book will guide you to become confident and in control of a powerful experiential learning method that really makes a difference. We all know that education needs to change, especially when we see that world-wide only 34% of students who are still in school in their final grades are actually fully engaged with their schooling. This is a monumental loss of learning that can be rectified, and C.A.R.E. is your first step in helping us all turn this situation around. Don't wait for someone to tell you what the next great direction in education is; show them. C.A.R.E. is real, it is powerful, and we are sincere. Visit us at our website, read the book, and join the C.A.R.E. community. Sincerely, Agnes, Stuart, and Ross

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.