Catálogo de publicaciones

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature.

• An introductory guide to statistics aimed specifically at the neuroscience audience
• Contains numerous examples with actual data that is used in the analysis
• Gives the investigators a starting pointing for evaluating data in easy-to-understand language
• Explains in detail many different statistical tests commonly used by neuroscientists

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study.

• Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings
• Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8)
• Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts.
• Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).

Intended as a text for plant bacteriology courses and as a reference for plant pathologists in agricultural extension services and experimental stations, Fundamentals of Bacterial Plant Pathology presents current information on bacterial morphology, taxonomy, genetics, and ecology. Diagnosis, disease management, and the molecular basis of host-pathogen interactions are examined. The book is well illustrated, includes both subject and taxonomic indexes, and provides suggestions for the further reading.

Key Features
* Provides an overview on phytopathogenic prokaryotes and plant prokaryote diseases
* Contains detailed descriptions of topics of current interest including:

* Molecular Genetics of Pathogenesis
* Modern taxonomy and ecological behaviors of phytopathogenic prokaryotes
* Biological control of plant prokaryote diseases

* Presents full descriptions of eighteen selected diseases of economic interest

This book was written to summarize some of the fundamentals to be considered in the food processing and technology area. It is an outgrowth of Dr. Goulds workshops on this subject. This text is an excellent starting point for students of food processing technology and individuals working in the processing arena. The challenge for today’s food processor is to produce food that is needed, improve quality and efficiency, and develop new businesses that will add value to the preserved product.

Fundamentals of Gas-Particle Flow is an edited, updated, and expanded version of a number of lectures presented on the “Gas-Solid Suspensions” course organized by the von Karman Institute for Fluid Dynamics. Materials presented in this book are mostly analytical in nature, but some experimental techniques are included.
The book focuses on relaxation processes, including the viscous drag of single particles, drag in gas-particles flow, gas-particle heat transfer, equilibrium, and frozen flow. It also discusses the dynamics of single particles, such as particles in an arbitrary flow, in a rotating gas, in a Prandtl-Meyer expansion, and in an oscillating flow.
The remaining chapters of the book deal with the thermodynamics of gas-particle mixtures, steady flow through ducts, pressure waves, gas-particle jets, boundary layer, and momentum transfer. The experimental techniques included in this book present the powder feeders, the instrumentation on particle flow rate, velocity, concentration and temperature, and the measurement of the particle drag coefficient in a shock tube.