Book picks similar to
Intuitive Biostatistics by Harvey Motulsky
science
statistics
non-fiction
nonfiction
BRS Gross Anatomy
Kyung Won Chung - 1988
Written in a concise, bulleted outline format, this well-illustrated text offers 500 USMLE-style review questions, answers, and explanations and features comprehensive content and upgraded USMLE Step 1 information.
Evolutionary Dynamics: Exploring the Equations of Life
M.A. Nowak - 2006
Evolutionary Dynamics is concerned with these equations of life. In this book, Martin A. Nowak draws on the languages of biology and mathematics to outline the mathematical principles according to which life evolves. His work introduces readers to the powerful yet simple laws that govern the evolution of living systems, no matter how complicated they might seem. Evolution has become a mathematical theory, Nowak suggests, and any idea of an evolutionary process or mechanism should be studied in the context of the mathematical equations of evolutionary dynamics. His book presents a range of analytical tools that can be used to this end: fitness landscapes, mutation matrices, genomic sequence space, random drift, quasispecies, replicators, the Prisoner's Dilemma, games in finite and infinite populations, evolutionary graph theory, games on grids, evolutionary kaleidoscopes, fractals, and spatial chaos. Nowak then shows how evolutionary dynamics applies to critical real-world problems, including the progression of viral diseases such as AIDS, the virulence of infectious agents, the unpredictable mutations that lead to cancer, the evolution of altruism, and even the evolution of human language. His book makes a clear and compelling case for understanding every living system--and everything that arises as a consequence of living systems--in terms of evolutionary dynamics.
Introduction to Real Analysis
Robert G. Bartle - 1982
Therefore, this book provides the fundamental concepts and techniques of real analysis for readers in all of these areas. It helps one develop the ability to think deductively, analyze mathematical situations and extend ideas to a new context. Like the first two editions, this edition maintains the same spirit and user-friendly approach with some streamlined arguments, a few new examples, rearranged topics, and a new chapter on the Generalized Riemann Integral.
Thinking Mathematically
John Mason - 1982
It demonstrates how to encourage, develop, and foster the processes which seem to come naturally to mathematicians.
Journey through Genius: The Great Theorems of Mathematics
William Dunham - 1990
Now William Dunham gives them the attention they deserve.Dunham places each theorem within its historical context and explores the very human and often turbulent life of the creator — from Archimedes, the absentminded theoretician whose absorption in his work often precluded eating or bathing, to Gerolamo Cardano, the sixteenth-century mathematician whose accomplishments flourished despite a bizarre array of misadventures, to the paranoid genius of modern times, Georg Cantor. He also provides step-by-step proofs for the theorems, each easily accessible to readers with no more than a knowledge of high school mathematics.A rare combination of the historical, biographical, and mathematical, Journey Through Genius is a fascinating introduction to a neglected field of human creativity.
Python for Data Analysis
Wes McKinney - 2011
It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Atlas of Anatomy
Anne M. Gilroy - 2008
Packed with over 2,400 full-color illustrations, this atlas guides you step-by-step through each region of the body, helping you master the details of anatomy.Key Features:Exquisite full-color illustrations with clear, thorough labeling and descriptive captionsEven more clinical correlations help students make the connection between anatomy and medicineCoverage of each region intuitively arranged to simplify learning: beginning with the skeletal framework, then adding muscles, organs, vasculature, and nerves, and concluding with topographic illustrations that put it all togetherOver 170 tables summarize key anatomic information for ease of study and reviewInnovative, user-friendly format in which each two-page spread is a self-contained guide to a topicSurface anatomy spreads now include regions and reference lines or planes in addition to landmarks and palpable structures to develop physical exam skillsMuscle Fact spreads ideal for memorization, reference, and review organize the essentials about muscles, including origin, insertion, innervation, and actionNew sectional anatomy spreads at the end of units build familiarity with 2D views of anatomic regionsAccess to WinkingSkull.com PLUS, with over 500 images from the book for labels-on and labels-off review and timed self-tests for exam preparationAtlas of Anatomy is the student's choice:Thieme is the best anatomy atlas by far, hands down. Clearer pictures, more pictures, more realistic pictures, structures broken up in ways that make sense and shown from every angle...includes clinical correlations and summary charts of innervations and actions. That's about all there is to it. Just buy it. Thank you Thieme!!! Ok, now back to studying...In my opinion this book surpasses them all. It's the artwork. The artist has found the perfect balance of detail and clarity. Some of these illustrations have to be seen to be believed.... The pearls of clinical information are very good and these add significance to the information and make it easier to remember. Easier to remember is key.