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وصف كتب مصر
Drawn from nearly four decades of Lawrence L. Kupper’s teaching experiences as
a distinguished professor in the Department of Biostatistics at the University
of North Carolina, Exercises and Solutions in Biostatistical Theory presents
theoretical statistical concepts, numerous exercises, and detailed solutions
that span topics from basic probability to statistical inference. The text
links theoretical biostatistical principles to real-world situations, including
some of the authors’ own biostatistical work that has addressed complicated
design and analysis issues in the health sciences.
This classroom-tested material is arranged sequentially starting with a
chapter on basic probability theory, followed by chapters on univariate
distribution theory and multivariate distribution theory. The last two chapters
on statistical inference cover estimation theory and hypothesis testing theory.
Each chapter begins with an in-depth introduction that summarizes the
biostatistical principles needed to help solve the exercises. Exercises range
in level of difficulty from fairly basic to more challenging (identified with
By working through the exercises and detailed solutions in this book, students
will develop a deep understanding of the principles of biostatistical theory.
The text shows how the biostatistical theory is effectively used to address
important biostatistical issues in a variety of real-world settings. Mastering
the theoretical biostatistical principles described in the book will prepare
students for successful study of higher-level statistical theory and will help
them become better biostatisticians.