Problems Mathematical Statistics by Ivchenko (3 results)

Condition: Bueno. : Este libro, titulado 'Problems in Mathematical Statistics', es una colección de problemas relacionados con la estadística matemática. Publicado en 1989 por Mir Publishers Moscow, está escrito en inglés y aborda temas de estadística. El autor principal es G. I Ivchenko. EAN: 9785030015385 Tipo: Libros Categoría: Ciencias Título: Problems in mathematical statistics Autor: G. I Ivchenko Idioma: en.

Condition: New. Idioma/Language: Inglés. Problems in Mathematical Statistics is a continuation of Mathematial Satistics by G. Ivchenko an d Yu. Medvedev. The problem book supplements the theoretical course, coves the basic topics in modern statistical theory and can be used for practice and laboratory works (including computer simulaton of random variables for further statistical interpretation). Some of the problems ara mor dificult and require a creative individual effort. Detailed solutions are given to nosn-standard problems. Each chapter contains the necessary theoretical material and formulas. Statistical tables will help to obtain numerical results. The book will be useful to studentes at technical colleges and universities, to post-graduate students and engineers applying probabilistic and statical methods. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Soft cover. Condition: New. 1st Edition. Contents: 1. Principles of statistical description sampling characteristics and their distributions. 2. Estimation of distribution parameters. 3. Tests of statistical hypotheses. 4. Linear regression and the least squares method. 5. Decision functions. 6. Statistics of stationary sequences. The book covers all the traditional topics in modern statistical theory and is designed for students at technical colleges and universities who have mathematical statistics as an obligatory course. Problems on computer simulation of random variables in order to obtain the data for statistical interpretation have been included. Any "theoretical" problem which contains a statistical algorithm for data analysis can be used (with the appropriate (practically infinite) choice of the model parameters) to formulate a "practical" problem. At the first stage the original data should be simulated using either published tables of random numbers or special computer programs. Then, by Interpreting these "experimental" results according to the algorithm in question, the student can compare the theoretical hypothesis with the original parameters which are known as they were used when the sample was simulated.