Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution.
While numerous books exist on how to analyse data using a GLM, little information is available on ho.
Russell Ginns
It is up to samantha and her brother nipper to face what the weather has in store for them and defeat snow, or risk losing their uncle paul forever.
Kenneth Wapnick
Russell Brand
With this first book in russell brand’s trickster tales series, the famed comedian, actor, and bestselling author delivers a hilarious retelling of an old fairytale favorite that will appeal to adults and children alike.
Russell Re Manning
The place (or absence) of god in nietzsche's thought remains central and controversial.
Kenneth Wapnick
Russell Ash
Kenneth Wapnick
Russell B Staff
Vance, Russell, 3rd
Sir Kenneth Hawkins
Kenneth R. Feinberg
Kenneth Williford
Kenneth Olwig
Russell Moran
Kenneth Parker
Kenneth Cooper
Kathryn Russell-Brown
Clifford S. Russell
This title was first published in 2003.
Russell Nohelty
Kenneth Chan
Kenneth White
Kenneth A. Small
Russell NORMAN
Kenneth Graham
Kenneth Graham
Kenneth Parker
Smith, Kenneth
Judson W. Russell
This text provides a holistic view of equity investing, offering the reader a complete understanding of equity investing and portfolio management.
Kenneth Shouler
Kenneth Parker
W. Kenneth Richmond
Anthony Russell
Russell Grigg
Tiana Marie Russell
Kenneth Cameron
Rupert Russell
Russell Wong
R. B. Russell
Pamela Russell
E. J. Russell
Kenneth Grahame
William B. Russell III
Kenneth Felts
Kenneth Womack
Kenneth Usongo
Kenneth Graham
Russell Skelchy
Helen Russell
Kenneth W. Sims
Kenneth Dowler
Russell Punter
Russell Stothard
Russell Martin
Kenneth E. Rowe
Russell Ewert
Kenneth Grahame
Kenneth Ambrose
Catherine Ann Russell
Thomas P. Wangler
Craig A. Tovey
Nalini Ravishanker
Crista Arangala
exploring linear algebra: labs and projects with matlab(r) is a hands-on lab manual that can be used by students and instructors in classrooms every day to guide the exploration of the theory and applications of linear algebr.
D. R. Fulkerson
Michael J. Panik
Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposaluseful as a main resource or as a supplement in an economics or manageme.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Adrian G. Barnett
Tertulien Ndjountche
With a focus on designing and verifying cmos analog integrated circuits, the book reviews design techniques for mixed-signal building blocks, such as nyquist and oversampling data converters, and circuits for signal generation, synthesis, and recovery.
Daniele Bertaccini
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.
Kenneth G. Russell
Generalized linear models (glms) allow many statistical analyses to be extended to important statistical distributions other than the normal distribution.
J. S. Chahal
Fundamentals of linear algebra is like no other book on the subject.
Tertulien Ndjountche
John F. Monahan
Willem Adriaan de Graaf
Designed as a self-contained account of a number of key algorithmic problems and their solutions for linear algebraic groups, this book combines in one single text both an introduction to the basic theory of linear algebraic groups and a substantial colle.
Holger Wendland
This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.
Lee Johnson
Introduction to linear algebra, sixth edition, is a foundation text that bridges both practical computation and theoretical principles.
Ron Larson
Elementary linear algebra is written for the first undergraduate course.
Edgar G. Goodaire
Titu Andreescu
Leonard C. Maximon
Carlos M. da Fonseca
Jouhaina Siala Chaouachi
For upper-division/graduate courses in operations research/management science, mathematics, and computer science, this text covers basic theory, selected applications, network flow problems, and advanced techniques..
Graham J. G. Upton
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying r codethis book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicate.
Jiri Vlach
Paul A. Fuhrmann
Xiwang Dong
This book focuses on analysis and design problems for high-order linear time-invariant (lti) swarm systems (multi-agent systems) to achieve consensus, formation, containment and formation-containment.
Richard C. Penney
L. E. Dickson
Originally published in 1914 as number sixteen in the cambridge tracts in mathematics and mathematical physics series, this book provides a concise account regarding the theory of linear associative algebras.
Lee W. Johnson
This edition contains a new section covering elementary vector-space ideas, for example subspace, basis, and dimension, introduced in the familiar setting of r..
Corentin Briat
Glenda Lappan
Petr Hájek
This bookis aboutthe subject of higher smoothness in separable real banach spaces.
Ping-Qi PAN
With emphasis on computation, this book is a real breakthrough in the field of lp.
Anvarbek Meirmanov
The book is devoted to rigorous derivation of macroscopic mathematical models as a homogenization of exact mathematical models at the microscopic level.
Maksim Aleksandrovich Olʹshanskiĭ
Crista Arangala
A supplement to linear algebra courses, this text leads students through an engaging, inquiry-based learning experience using mathematica(r).
Howard Anton
Eugene Wachspress
The adi model problem presents the theoretical foundations of alternating direction implicit (adi) iteration for systems with both real and complex spectra and extends early work for real spectra into the complex plane with methods for computing op.
Igor Reider
The jacobian of a smooth projective curve is undoubtedly one of the most remarkable and beautiful objects in algebraic geometry.
Julian J. Faraway
Bertram Huppert
Mokhtar S. Bazaraa
The authoritative guide to modeling and solving complex problems with linear programming-extensively revised, expanded, and updated the only book to treat both linear programming techniques and network flows under one cover, linear programming a.
Ravindra B. Bapat
This book consists of eighteen articles in the area of combinatorial matrix theory' and generalized inverses of matrices'.
Patricia Clark Kenschaft
Dimitri Nakassis
This book revises our understanding of mycenaean society through a detailed analysis of individuals attested in the administrative texts from the palace of nestor at pylos in southwestern greece, ca.
Shu-Cherng Fang
Alexander von Eye
An easily accessible introduction to log-linear modeling for non-statisticianshighlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, "log-linear modeling: concepts, interpretation, and application "provide.
Marvin H. J. Gruber
A self-contained introduction to matrix analysis theory and applications in the field of statisticscomprehensive in scope, "matrix algebra for linear models "offers a succinct summary of matrix theory and its related applications to statistics.
Roger Bakeman
Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate.
Garret Sobczyk