# Search Results: 'Linear Probability'

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21 results for "Linear Probability"
Probability and Statistics
Paperback: \$14.95
Prints in 3-5 business days     Probability and statistics are powerful tools for describing the real world using methods that are accessible to students with a solid background in introductory algebra. This supplementary text to... More > White Crane Education's Algebra 1 curriculum, starts with a discussion of the basic concepts of probability then moves into descriptive statistics including using charts to summarize and analyze data, modeling data with linear regression and drawing conclusions about a population using the normal distribution. A student designed research project involving data collection and analysis is outlined through the exercises at the end of several of the book's sections.< Less
Introduction to Probability for Children
eBook (ePub): \$2.99     (1 Ratings)
Probability is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicates certainty). The higher... More > the probability of an event, the more certain that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is unbiased, the two outcomes ("head" and "tail") are both equally probable. Since no other outcomes are possible, the probability is 1/2 (or 50%), of either "head" or "tail". In other words, the probability of "head" is 1 out of 2 outcomes; the probability of "tail" is also 1 out of 2 outcomes, expressed as 0.5.< Less
Linear Algebra Done Wrong
Paperback: \$9.68
Prints in 3-5 business days     It is a first linear algebra course for mathematically advanced students. It is intended for a student who, while not yet very familiar with abstract reasoning, is willing to study more rigorous... More > mathematics that is presented in a "cookbook style" calculus type course. It is also supposed to be a first course introducing a student to rigorous proof and formal definitions. The target audience explains the specific blend of elementary ideas and concrete examples, which are usually presented in introductory linear algebra texts with more abstract definitions and constructions typical for advanced books. The book emphasizes topics that are important for analysis, geometry, probability, etc., and does not include some traditional topics. For example, I am only considering vector spaces over the fields of real or complex numbers, since I feel time would be better spent on some more classical topics, which will be required in other disciplines.< Less
Introduction to Probability and Statistics Using R
Paperback: \$31.02
Prints in 3-5 business days     This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the... More > class include mathematics, engineering, and computer science majors.< Less
Introduction to Probability and Statistics Using R
eBook (PDF): \$0.00     This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three semesters of calculus and some linear algebra. Students attending the... More > class include mathematics, engineering, and computer science majors.< Less
Stochastic Processes in Mechanical Engineering
Paperback: \$9.80
Prints in 3-5 business days     Stochastic or random vibrations occur in a variety of applications of mechanical engineering. Examples are: the dynamics of a vehicle on an irregular road surface; the variation in time of... More > thermodynamic variables in municipal waste incinerators due to fluctuations in heating value of the waste; the vibrations of an airplane flying through turbulence; the fluctuating wind loads acting on civil structures; the response of off-shore structures to random wave loading. Attention is focussed on problems of external noise. That is, models of mechanical engineering structures are considered where the source of random behavior comes from outside: e.g. a prescribed random force or a prescribed random displacement. The structures inhibit inertia, damping and restoring, linear and non-linear. Questions addressed are: how do these structures respond to random excitation, and how to quantify the random behavior of response variables in a manner that an engineer is able to make rational design decisions.< Less
Stochastic Processes in Mechanical Engineering
eBook (PDF): \$0.00     Stochastic or random vibrations occur in a variety of applications of mechanical engineering. Examples are: the dynamics of a vehicle on an irregular road surface; the variation in time of... More > thermodynamic variables in municipal waste incinerators due to fluctuations in heating value of the waste; the vibrations of an airplane flying through turbulence; the fluctuating wind loads acting on civil structures; the response of off-shore structures to random wave loading. Attention is focussed on problems of external noise. That is, models of mechanical engineering structures are considered where the source of random behavior comes from outside: e.g. a prescribed random force or a prescribed random displacement. The structures inhibit inertia, damping and restoring, linear and non-linear. Questions addressed are: how do these structures respond to random excitation, and how to quantify the random behavior of response variables in a manner that an engineer is able to make rational design decisions.< Less
Finding the Expected Value of the Random Variable X
eBook (PDF): \$5.99     "An experiment consists of flipping a fair coin three times and noting the number of heads and tails. A random variable x is defined to be two times the number of heads plus the number of tails.... More > Find E(x), the expected value of x. "< Less
An Introduction to Statistical Learning: With Applications In R (Springer Texts In Statistics) By et al.
eBook (PDF): \$19.99
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged... More > in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.< Less
Advanced Design for Ships and Offshore Floating Systems
eBook (PDF): \$44.92     This publication represents a series of lecturers' notes which were presented at a short course and Workshop entitled “Advanced Design of Ships and Offshore Floating Systems” first... More > presented at the Jury's Pond Hotel, Glasgow in September 1992. The course was coordinated by The Marine Technology Directorate Limited, and hosted by the University of Glasgow. It was part funded by the EU COMETT Programme through the University Enterprise Training Partnership in Marine Science and Technology (MARTRAIN).< Less

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