Mathematical Statistics

Introduction Frequency distribution and measures of location,measures of dispersions,skewness & kurtosis moments of frequency distributions Theory of probability Discrete probability distributions Special discrete probability distributions Univariate continuous probability distributions Special continuous probability distributions Principle of least squares,fittings of curves & orthangonal polynomeals Correlation and regression Multiple and partial correlation Theory of sampling Exact sampling distributions Tests of singificance based on the T,F and Z distributions Tests of significance based on the chi- square distribution Statistical theory of point estimation Testing of hypotheses,sequential analysis distribution Free methods, statistical decision theory Elements of stochastic processes orderstatistics Appendices Index log tables

Statistics : Theory and Practics

Fundamentals Of Applied Statistics

Schaum's Outlines : Statistics

This book is designed for use as a supplement to all current standard texts or as a textbook for a formal course on Statistics. It should also be of considerable value to those taking courses in mathematics, management, commerce, or any of the numerous other fields in which statistical methods are employed.

Statistical Methods (Combined Edition) Volume 1 & 2

The text gives a Classic & Wholesome treatment to Statistics covering all major concepts of UG level in simple & lucid format. Each chapter starts at explaining the key concepts to a topic through exhaustive theory interspersed by explicitly solved examples & finally concluding at Exercises/ Supplement Problems/Mathematical Note wherever relevant. To help the reader gain proficiency in the subject, aids like List of Stats formulae & Rich Appendices has also been provided.

Analytical Statics

Mathematical Statistics And Data Analysis

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings

Elements of Statisticcs

Statistical Inference

This book builds theoretical statistics from thefirst principles of probability theory. Startingfrom the basics of probability, the authorsdevelop the theory of statistical inferenceusing techniques, definitions, and conceptsthat are statistical and are natural extensionsand consequences of previous concepts.Intended for first-year graduate students, thisbook can be used for students majoring instatistics who have a solid mathematicsbackground. It can also be used in a way thatstresses the more practical uses of statisticaltheory, being more concerned withunderstanding basic statistical concepts andderiving reasonable statistical procedures for avariety of situations, and less concerned withformal optimality investigations.FEATURES Offers new coverage of randomnumber generation, simulation methods,bootstrapping, EM algorithm, p-values, androbustness.Includes new sections on "Logistic Regression"and "Robust Regression"Restructures material for clarity purposesContains updated and expanded Exercises Key Features

Topology Of Metric Spaces

Fundamentals Of Statistical And Thermal Physics

Groundwork Of Mathematical Probability & Statistics

Fundamentals Of Statistics

Probability, Statistics, And Random Signals

Statistics (BBA 2nd Semester)

Probability And Statistics

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models and many examples using real data. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

Analytical Dynamics Of A Particle (Including Elements Of Statistics)

Mathematical Statistics With Applications

John E. Freund's Mathematical Statistics with Applications, Eighth Edition, provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics and current practices. This text is appropriate for a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics. It can also be used for a single-semester course emphasizing probability, probability distributions and densities, sampling and classical statistical inference.

Statistics (Theory, Methods & Application)

Business Statistics