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Statistics at the Bench

Statistics at the Bench is a convenient bench-side companion for biologists, designed as a handy reference guide for elementary and;

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Statistics for Terrified Biologists

demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists, 2nd;

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Optimal High-Throughput Screening

This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high;

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Using R at the Bench

Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy;

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Statistics For Microarrays

need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as;

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Mathematical Ideas in Biology

. Professor Maynard Smith's book is written for all biologists, from undergraduate level upwards, who need mathematical tools. Only an elementary;

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Foundational and Applied Statistics for Biologists Using R

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R;

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Foundational and Applied Statistics for Biologists Using R

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R;

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An Introduction To Experimental Design And Statistics For Biology

This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling;

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Algebraic Statistics for Computational Biology

science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book, first;

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Beyond ANOVA

Renowned statistician R.G. Miller set the pace for statistics students with Beyond ANOVA: Basics of Applied Statistics. Designed to show;

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Statistics for Biologists

within a reasonable price range, prevents reiteration of explanations: the reader is expected to remember what he has read, for he will not find;

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Maths from Scratch for Biologists

Numerical ability is an essential skill for everyone studying the biological sciences but many students are frightened by the 'perceived;

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Maths from Scratch for Biologists

Numerical ability is an essential skill for everyone studying the biological sciences but many students are frightened by the 'perceived;

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Statistical Modeling and Machine Learning for Molecular Biology

Molecular biologists are performing increasingly large and complicated experiments, but often have l;...

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Statistical Modeling and Machine Learning for Molecular Biology

Molecular biologists are performing increasingly large and complicated experiments, but often have l;...

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Revival: Biostatistics (1993)

This book is a first course in statistics for students of biology. Most of the examples have an ecological bias, but illustrate principles;

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Revival: Biostatistics (1993)

This book is a first course in statistics for students of biology. Most of the examples have an ecological bias, but illustrate principles;

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Geometric Morphometrics for Biologists

The first edition of Geometric Morphometrics for Biologists has been the primary resource for teaching modern geometric methods;

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Analysis Of Biological Data

examples and not overcomplicated formulas. This edition includes several unusual features that they have discovered to be helpful for effectively;

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Understanding Statistical Error

should be applied in biological research. Understanding Statistical Error - A Primer for Biologists: * Introduces the essential topic of error;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation;

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Chemistry for Biologists

Chemistry for Biologists is een boek van A Sella;

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Bayesian Phylogenetics

to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology, Bayesian;

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Statistical Methods in Biology

is presented with great simplicity, the coverage is wide and will satisfy the needs of those working in many disciplines. New material for this third;

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The Influence of Cooperative Bacteria on Animal Host Biology

as lifelong partners which are often essential for the survival of their host. This book brings together a group of diverse scientists;

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Mathematics for Biologists

MATHEMATICS FOR BIOLOGISTS describes mathematical concepts and techniques that are useful for studying mathematical biology laying;

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