A Programmed Sequence on Exponential Notation
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Natural Gas Reserves of the Province of Alberta and Other Related Data
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Vital Statistics Illinois ..; 1986
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Integral Calculus; 4
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Limit Distributions for Sums of Independent Random Variables
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Mathematics of Engineering Systems, Linear and Non-linear
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Amerigo Vespucci, Pilot Major
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Methods Based on the Wiener-Hopf Technique for the Solution of Partial Differential Equations
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Annual Report of Public Health Statistics Section [serial]; 1949 (1)
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Orders of Infinity, Thr ’Infinitärcalcül’ of Paul Du Bois-Reymond
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Principles of the Theory of Probability
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Elementary Treatise on Mechanics
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Numerical Values of Certain Functions Involving E -x [superscript] [microform]
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An Introduction to Phase-integral Methods
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Step Into the World of Mathematics
Foreword: Mathematics, our invisible friend.- 1. My adventures in the world of mathematics.- 2. Examples of mathematical models.- 3. The large models of Earth and space.- 4. Mathematics in the service of doctors.- 5. Is humanity mathematics as well?.- Mathematics belongs to everyone.
Chance and Error
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The Decennial Census, 1945
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Final Report, Research and Statistics (Survey Unit No. 16)
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Paper Makers in Canada
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Functions of Complex Variables
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Descriptive Statistics
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The Bureau of the Census
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Elements of Probability and Statistics; 0
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Report of Commissioners of DC; 1926
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Linear Partial Differential Operators
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A Treatise on Differential Equations, and on the Calculus of Finite Differences
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Vital Statistics Illinois ..; 1980
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Final Vital Statistics Tables, Maryland.; 1957
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The Work of Silov on Commutative Semi-simple Banach Algebras
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Trigonometric Series
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Handbook of Probability and Statistics With Tables
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S-matrix Theory of Strong Interactions
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Michigan Health Statistics
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An Elementary Handbook of Applied Mechanics, With 88 Diagrams
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Linear Partial Differential Operators
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New Contributions to Economic Statistics
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Flexible Imputation of Missing Data, Second Edition
This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field.
Mathematical Methods in Engineering and Applied Sciences
Recognized as a "Recommended" title by Choice for their October 2020 issue.Choice is a publishing unit at the Association of College & Research Libraries (ACR&L), a division of the American Library Association. Choice has been the acknowledged leader in the provision of objective, high-quality evaluations of nonfiction academic writing. This book covers tools and techniques used for developing mathematical methods and modelling related to real-life situations. It brings forward significant aspects of mathematical research by using different mathematical methods such as analytical, computational, and numerical with relevance or applications in engineering and applied sciences. Presents theory, methods, and applications in a balanced manner Includes the basic developments with full details Contains the most recent advances and offers enough references for further study Written in a self-contained style and provides proof of necessary results Offers research problems to help early career researchers prepare research proposals Mathematical Methods in Engineering and Applied Sciences makes available for the audience, several relevant topics in one place necessary for crucial understanding of research problems of an applied nature. This should attract the attention of general readers, mathematicians, and engineers interested in new tools and techniques required for developing more accurate mathematical methods and modelling corresponding to real-life situations.
Bayesian Applications in Pharmaceutical Development
This provides comprehensive coverage of Bayesian application across the span of drug development from discovery to clinical trial to manufacturing with practical examples as illustration.
Introductory Analysis
Introductory Analysis: An Inquiry Approach aims to provide a self-contained, inquiry-oriented approach to undergraduate-level real analysis. The book is intended to be "inquiry-oriented'" in that as each major topic is discussed, details of the proofs are left to the student in a way that encourages an active approach to learning.
Modelling Spatial and Spatial-Temporal Data
This book shows how to analyze spatial and spatial-temporal data. It focuses on key datasets and data analysis, using the open source software WinBUGS, R, and GeoDa. It examines a range of different spatial and spatial-temporal data modeling situations encountered in the social and economic sciences.
Sequence Spaces
This book is aimed at both experts and non-experts with an interest in getting acquainted with sequence space, matrix transformations and their applications. It provides different points of view in one volume, e.g. their topological properties, geometry and summability, fuzzy valued study and more.
Bayesian Inference with Inla
The Integrated Nested Laplace Approximation (INLA) is a popular method for approximate Bayesian inference. This book provides an introduction to the underlying INLA methodology and practical guidance on how to fit different models with R-INLA and R. This covers a wide range of applications, such as multilevel models, spatial models and survival
Jacobian Elliptic Functions
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Thermodynamic Formalism
- Part I Specifications and Expansiveness. - 1. Beyond Bowen's Specification Property. - 2. The Role of Continuity and Expansiveness on Leo and Periodic Specification Properties. - Part II Low Dimensional Dynamics and Thermodynamics Formalism. - 3. Thermodynamic Formalism and Geometric Applications for Transcendental Meromorphic and Entire Functions. - Part III Probability Theory Ergodicity and Thermodynamic Formalism. - 4. Recurrent Sets for Ergodic Sums of an Integer Valued Function. - 5. Almost Sure Invariance Principle for Random Distance Expanding Maps with a Nonuniform Decay of Correlations. - 6. Limit Theorem for Reflected Random Walks. - 7. The Strong Borel-Cantelli Property in Conventional and Nonconventional Setups. - 8. Application of the Convergence of the Spatio-Temporal Processes for Visits to Small Sets. - Part IV Geometry and Thermodynamics Formation. - 9. Rate of Mixing for Equilibrium States in Negative Curvature and Trees. - 10. Statistical Properties of the Rauzy-Veech-Zorich Map. - 11. Entropy Rigidity, Pressure Metric, and Immersed Surfaces in Hyperbolic 3-Manifolds. - 12. Higher Teichm羹ller Theory for Surface Groups and Shifts of Finite Type. - Part V Fractal Geometry. - 13. Dimension Estimates for C1 Iterated Function Systems and C1 Repellers, a Survey. - 14. Intermediate Dimensions: A Survey. - 15. Fractal Geometry of Bedford-McMullen Carpets. - 16. Some Variants of Orponen's Theorem on Visible Parts of Fractal Sets.
Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization
Nature-inspired algorithms have a great popularity in the current scientific community, being the focused scope of many research contributions in the literature year by year. The rationale behind the acquired momentum by this broad family of methods lies on their outstanding performance evinced in hundreds of research fields and problem instances. This book gravitates on the development of nature-inspired methods and their application to stochastic, dynamic and robust optimization. Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.
Engineering Applications of Noncommutative Harmonic Analysis
Fisrt published in 2001, Noncommutative harmonic analysis is one of the most widely used mathematical tools in engineering. Written specifically for engineers and computer scientists, this book serves as an applied counterpart to the theoretical works of pure mathematicians.
Applied Iterative Methods
This book is a collection of essays on iterative algorithms and their uses. It focuses on the mathematics of medical image reconstruction, with emphasis on Fourier inversion. The book discusses the problems and algorithms in the context of operators on finite-dimensional Euclidean space.