Книги. Художественная литература. Учебники и пособия.

Paul W. Farris, Neil T. Bendle, Phillip E. Pfeifer, David J. Reibstein

Marketers now recognize the importance of metrics, but few understand the breadth, depth, or power of the metrics now available to them. In Marketing Metrics, four leading researchers and consultants systematically introduce today’s most valuable marketing metrics, showing exactly how to use them to maximize marketing ROI and identify the best new opportunities for profit. The authors show how to use a “dashboard” of metrics to view market dynamics from multiple perspectives, to maximize accuracy, and to “triangulate” to optimal solutions. You’ll discover high-value metrics for virtually every facet of marketing: promotional strategy, advertising, and distribution; customer perceptions; market share; competitors’ power; margins and pricing; products and portfolios; customer profitability; sales forces and channels; and more. For clarity and simplicity, this book avoids advanced math: all calculations can be performed by hand, or with basic spreadsheet techniques. In...

Jack Horner, James Gorman

A world-renowned paleontologist reveals groundbreaking science that trumps science fiction: how to grow a living dinosaur Over a decade after Jurassic Park, Jack Horner and his colleagues in molecular biology labs are in the process of building the technology to create a real dinosaur. Based on new research in evolutionary developmental biology on how a few select cells grow to create arms, legs, eyes, and brains that function together, Jack Horner takes the science a step further in a plan to "reverse evolution" and reveals the awesome, even frightening, power being acquired to recreate the prehistoric past. The key is the dinosaur's genetic code that lives on in modern birds- even chickens. From cutting-edge biology labs to field digs underneath the Montana sun, How to Build a Dinosaur explains and enlightens an awesome new science.

High Quality Content by WIKIPEDIA articles! In Euclidean geometry, uniform scaling or isotropic scaling is a linear transformation that enlarges or increases or diminishes objects; the scale factor is the same in all directions; it is also called a homothety. The result of uniform scaling is similar, in the geometric sense to the original. A scale factor of 1 is normally allowed, so that congruent shapes are also classed as similar, but some school text books specifically exclude this possibility. More general is scaling with a separate scale factor for each axis direction. Non-uniform or anisotropic scaling is obtained when at least one of the scaling factors is different from the others; a special case is directional scaling, in one direction. Non-uniform scaling changes the shape of the object; a rectangle may change into a rectangle of a different shape, but also in a parallelogram, the angles between lines parallel to the axes are preserved, but not all angles.

P-C. G. Vassiliou

Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helping professionals manage financial risks. In recent years, we have witnessed a tremendous acceleration in research efforts aimed at better comprehending, modeling and hedging this kind of risk. These two volumes aim to provide a foundation course on applied stochastic finance. They are designed for three groups of readers: firstly, students of various backgrounds seeking a core knowledge on the subject of stochastic finance; secondly financial analysts and practitioners in the investment, banking and insurance industries; and finally other professionals who are interested in learning advanced mathematical and stochastic methods, which are basic knowledge in many areas, through finance. In Volume 2 we study continuous time models by presenting the necessary material from...

High Quality Content by WIKIPEDIA articles! The spectrum of a C*-algebra or dual of a C*-algebra A, denoted A, is the set of unitary equivalence classes of irreducible *-representations of A. A *-representation ? of A on a Hilbert space H is irreducible if, and only if, there is no closed subspace K different from H and {0} which is invariant under all operators ?(x) with x ? A. We implicitly assume that irreducible representation means non-null irreducible representation, thus excluding trivial (i.e. identically 0) representations on one-dimensional spaces. As explained below, the spectrum A is also naturally a topological space; this generalizes the notion of the spectrum of a ring.

Daniel B. Carr, Linda Williams Pickle

A Full-Color Treatment of a Graphical Innovation That Brings Statistics to Life After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked,...

John S. Hornsby, Margaret L. Lial, Gary K. Rockswold

A Graphical Approach to Precalculus with Limits: A Unit Circle Approach illustrates how the graph of a function can be used to support the solutions of equations and inequalities involving the function. Beginning with linear functions in Chapter 1, the text uses a four-part process to analyze each type of function, starting first with the graph of the function, then the equation, the associated inequality of that equation, and ending with applications. The text covers all of the topics typically caught in a college algebra course, but with an organization that fosters students’ understanding of the interrelationships among graphs, equations, and inequalities. With the Fifth Edition, the text continues to evolve as it addresses the changing needs of today’s students. Included are additional components to build skills, address critical thinking, solve applications, and apply technology to support traditional algebraic solutions, while maintaining its unique table of contents and...

Yasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu

Wiley Series In Probability And Statistics Multivariate Statistics High-Dimensionaland Large-Sample Approximations Yasunori Fujikoshi Vladimir V. Ulyanov Ryoichi Shimizu A comprehensive examination ofhigh-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional...

High Quality Content by WIKIPEDIA articles! Primitive recursive arithmetic, or PRA, is a quantifier-free formalization of the natural numbers. It was first proposed by Skolem as a formalization of his finitist conception of the foundations of arithmetic, and it is widely agreed that all reasoning of PRA is finitist. Many also believe that all of finitism is captured by PRA, but others believe finitism can be extended to forms of recursion beyond primitive recursion, up to ?0, which is the proof-theoretic ordinal of Peano arithmetic. PRA's proof theoretic ordinal is ??, where ? is the smallest transfinite ordinal. PRA is sometimes called Skolem arithmetic.

High Quality Content by WIKIPEDIA articles! In the area of mathematics known as homological algebra, especially in algebraic topology and group cohomology, a spectral sequence is a means of computing homology groups by taking successive approximations. Spectral sequences are a generalization of exact sequences, and since their introduction by Jean Leray in 1946, they have become an important research tool, particularly in homotopy theory. However, they have a reputation for being abstruse and difficult to comprehend.