Tag Archives: Inferences

Making Space: How the Brain Knows Where Things Are

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Jennifer M. Groh, "Making Space: How the Brain Knows Where Things Are"
English | ISBN: 0674863216 | 2014 | 218 pages | PDF | 5 MB

Making Space: How the Brain Knows Where Things Are
Knowing where things are seems effortless. Yet our brains devote tremendous computational power to figuring out the simplest details about spatial relationships. Going to the grocery store or finding our cell phone requires sleuthing and coordination across different sensory and motor domains. Making Space" traces this mental detective work to explain how the brain creates our sense of location. But it goes further, to make the case that spatial processing permeates all our cognitive abilities, and that the brain s systems for thinking about space may be the systems of thought itself. Our senses measure energy in the form of light, sound, and pressure on the skin, and our brains evaluate these measurements to make inferences about objects and boundaries. Jennifer Groh describes how eyes detect electromagnetic radiation, how the brain can locate sounds by measuring differences of less than one one-thousandth of a second in how long they take to reach each ear, and how the ear s balance organs help us monitor body posture and movement. The brain synthesizes all this neural information so that we can navigate three-dimensional space. But the brain s work doesn t end there. Spatial representations do double duty in aiding memory and reasoning. This is why it is harder to remember how to get somewhere if someone else is driving, and why, if we set out to do something and forget what it was, returning to the place we started can jog our memory. In making space the brain uses powers we did not know we have."
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Multiple Comparison Procedures

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Multiple Comparison Procedures by Yosef Hochberg, Ajit C. Tamhane
English | 1987-09 | ISBN: 0471822221 | 480 pages | PDF | 7,8 MB

Multiple Comparison Procedures
Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis.
With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. Provides detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Also discusses the benefits and drawbacks of other methods. Numerous examples and tables for implementing procedures are included, making this work both practical and informative.
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“Principles of Statistics for Engineers and Scientists” by William Navidi

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"Principles of Statistics for Engineers and Scientists" by William Navidi
International Student Edition
MGHill HiEd | 2010 | ISBN: 0070166978 978070166974 | 596 pages | PDF | 67 MB
This book offers the crystal clear presentation of applied statistics in a manner especially designed for the needs of a one-semester course that is focused on applications. The book is great for motivating students to understand the importance of statistics in their careers and their lives.

“Principles of Statistics for Engineers and Scientists” by William Navidi
The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
While the fundamental principles of statistics are common to all disciplines, students in science and engineering learn best from examples that present important ideas in realistic settings.
Accordingly, the book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research.

Contents
Preface
Chapter 1 Summarizing Unvariate Data
Chapter 2 Summarising Bivariate Data
Chapter 3 Probability
Chapter 4 Commonly Used Distributions
Chapter 5 Point and Interval Estimation for
Chapter 6 Hypothesis Tests for a Single Sample
Chapter 7 Inferences for Two Samples
Chapter 8 Inference in Linear Models
Chapter 9 Factorial Experiments
Chapter 10 Statistical Quality Control
Appendix A: Tables
Appendix B: Bibliography
Answers to Selected Exercises
Index
1st
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“Principles of Statistics for Engineers and Scientists” by William Navidi

FREEDownload : “Principles of Statistics for Engineers and Scientists” by William Navidi

"Principles of Statistics for Engineers and Scientists" by William Navidi
International Student Edition
MGHill HiEd | 2010 | ISBN: 0070166978 978070166974 | 596 pages | PDF | 67 MB
This book offers the crystal clear presentation of applied statistics in a manner especially designed for the needs of a one-semester course that is focused on applications. The book is great for motivating students to understand the importance of statistics in their careers and their lives.

“Principles of Statistics for Engineers and Scientists” by William Navidi
The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.
While the fundamental principles of statistics are common to all disciplines, students in science and engineering learn best from examples that present important ideas in realistic settings.
Accordingly, the book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research.

Contents
Preface
Chapter 1 Summarizing Unvariate Data
Chapter 2 Summarising Bivariate Data
Chapter 3 Probability
Chapter 4 Commonly Used Distributions
Chapter 5 Point and Interval Estimation for
Chapter 6 Hypothesis Tests for a Single Sample
Chapter 7 Inferences for Two Samples
Chapter 8 Inference in Linear Models
Chapter 9 Factorial Experiments
Chapter 10 Statistical Quality Control
Appendix A: Tables
Appendix B: Bibliography
Answers to Selected Exercises
Index
1st
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Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications

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Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications
English | Geophysics | 29. June 2006 | ISBN-10: 0521854245 | 384 pages | Pdf | 6 mb
The problems of making inferences about the natural world from noisy observations and imperfect theories occur in almost all scientific disciplines. This 2006 book addresses these problems using examples taken from geophysical fluid dynamics.

Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications
It focuses on discrete formulations, both static and time-varying, known variously as inverse, state estimation or data assimilation problems. Starting with fundamental algebraic and statistical ideas, the book guides the reader through a range of inference tools including the singular value decomposition, Gauss-Markov and minimum variance estimates, Kalman filters and related smoothers, and adjoint (Lagrange multiplier) methods. The final chapters discuss a variety of practical applications to geophysical flow problems. Discrete Inverse and State Estimation Problems is an ideal introduction to the topic for graduate students and researchers in oceanography, meteorology, climate dynamics, and geophysical fluid dynamics. It is also accessible to a wider scientific audience; the only prerequisite is an understanding of linear algebra.
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Climate Change: Inferences from Paleoclimate and Regional Aspects

Andre Berger, Fedor Mesinger, Djordje Sijacki, "Climate Change: Inferences from Paleoclimate and Regional Aspects"
ISBN: 3709109728 | 2012 | PDF | 244 pages | 11 MB
Experts in climate and water sciences from Canada, the United States, Brazil, Denmark, Germany, Belgium, France, Serbia, and other European countries and the UNESCO gathered at the Serbian Academy of Sciences and Arts on the occasion of the 130th birthday anniversary of the geophysicist Milutin Milankovitch. The collection of their presentations is opened by an update on the climate situation after the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Further topics include various issues of paleoclimatology, in particular as it helps reduce uncertainties from which prospects for climate change suffer; ecohydrology and climate change at the watershed scale; and regional climate models, which are discussed in terms of both their improved modeling and their use in studies of a polynya in the Antarctica and expected changes in the Mediterranean region.

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