Measure theory.

Lebesgue measure and integration :an introduction / by: (Language materials, printed)

Measure, integral and probability / by: (Language materials, printed)

Measures with symmetry properties / by: (Language materials, printed)

Measure theory and probability / by: (Language materials, printed)

Lebesgue integration on Euclidean space / by: (Language materials, printed)

Real analysis :measure theory, integration, and Hilbert spaces / by: (Language materials, printed)

Measure and integral :an introduction to real analysis / by: (Language materials, printed)

Real analysis :theory of measure and integration / by: (Language materials, printed)

Measures, integrals and martingales / by: (Language materials, printed)

A first look at rigorous probability theory / by: (Language materials, printed)

Measure, Topology, and Fractal Geometry / by: (Electronic resources)

Weak convergence of measures: applications in probability by: (Electronic resources)

Gradient flows in metric spaces and in the space of probability measures / by: (Language materials, printed)

Measure, integral and probability / by: (Language materials, printed)

Measure theory and probability / by: (Language materials, printed)

Measure theory and probability theory / by: (Language materials, printed)

Measures with symmetry properties by: (Electronic resources)

Tame geometry with application in smooth analysis by: (Electronic resources)

Measure theory and fine properties of functions / by: (Language materials, printed)

Measure theory and integration / by: (Language materials, printed)

Integration and modern analysis by: (Electronic resources)

Measure and integrationan advanced course in basic procedures and applications / by: (Electronic resources)

Probability, random processes, and ergodic properties by: (Electronic resources)

Generalized measure theory by: (Electronic resources)

Essentials of integration theory for analysis by: (Electronic resources)

Measure and integration :a concise introduction to real analysis / by: (Language materials, printed)

Topics in measure theory and real analysis by: (Electronic resources)

Measure and integrationpublications 1997-2011 / by: (Electronic resources)

The Borel-Cantelli Lemma by: (Electronic resources)

Handbook of measure theory by: (Electronic resources)

The elements of Cantor sets :with applications / by: (Language materials, printed)

A basic course in measure and probability :theory for applications / by: (Language materials, printed)

A course on integration theoryincluding more than 150 exercises with detailed answers / by: (Electronic resources)

The elements of Cantor setswith applications / by: (Language materials, printed)

Measure and integral :an introduction to real analysis / by: (Language materials, printed)

Measure theory and fine properties of functions / by: (Language materials, printed)

Repeated measurements and cross-over designs / by: (Language materials, printed)

An introduction to measure-theoretic probability by: (Electronic resources)

Measure and Integral by: (Electronic resources)

Essentials of measure theory by: (Electronic resources)

Probability and measure / by: (Language materials, printed)

The elements of integration and Lebesgue measure / by: (Language materials, printed)

Measure and integration by: (Electronic resources)

Fundamentals of functional analysis by: (Electronic resources)

Analysisfrom concepts to applications / by: (Electronic resources)

Applications of measure theory to statistics by: (Electronic resources)

Measure theory and functional analysis / by: (Language materials, printed)

Measure theory and filtering :introduction and applications / by: (Language materials, printed)

Analysis on Gaussian spaces by: (Electronic resources)

Measures, integrals and martingales / by: (Language materials, printed)

A basic course in measure and probabilitytheory for applications / by: (Electronic resources)

Universal measurementshow to free three birds in one move / by: (Electronic resources)

Repeated measurements and cross-over designs by: (Electronic resources)

Probability and conditional expectationfundamentals for the empirical sciences / by: (Electronic resources)

A course in functional analysis and measure theory by: (Electronic resources)

A concise introduction to measure theory by: (Electronic resources)

Measure and integration by: (Electronic resources)

Density evolution under delayed dynamicsan open problem / by: (Electronic resources)

Essentials of integration theory for analysis by: (Electronic resources)

Measure, integration and a primer on probability theory.Volume 1 by: (Electronic resources)

Probability theory :a comprehensive course / by: (Language materials, printed)

Classical and discrete functional analysis with measure theory by: (Electronic resources)

Combined measure and shift invariance theory of time scales and applications by: (Electronic resources)

Notes on real analysis and measure theoryfine properties of real sets and functions / by: (Electronic resources)

Measure theory, probability, and stochastic processes by: (Electronic resources)

Regular non-additive multimeasuresfundaments and applications / by: (Electronic resources)

Measure theory and integration by: (Electronic resources)

Measure-theoretic calculus in abstract spaceson the playground of infinite-dimensional spaces / by: (Electronic resources)