Non-parametric Tests for Censored Daata

This book addresses the testing of hypothses in non-parametric models in the specific case of censored or truncated data samples. In particular, the applicability of standard tests to incomplete data sets is considered - for examples the use of the chi-squared tests for parametric accelerated failure time regression models, which are widely used in reliability, accelerated life testing, and survival analysis, is detailed

Non-parametric Tests for Complete Data

The book addressed the testing of hypotheses in non-parametric models in the general case for complete data samples. Classical non-parametric tests (goodness-of-fit , homogenneity, randomness, independence) of complete data are considered and explained. Tests features include the chi-squared and modified chi-squared tests, rank and homogeneity tests, and most of the test results are proved, with real applicatiuons illustrated using examples. The incorrect use of many tests, and their applications using commonly deployed statistical software is highlighted and discuss

Non-parametric Tests for Censored Daata

This book addresses the testing of hypothses in non-parametric models in the specific case of censored or truncated data samples. In particular, the applicability of standard tests to incomplete data sets is considered - for examples the use of the chi-squared tests for parametric accelerated failure time regression models, which are widely used in reliability, accelerated life testing, and survival analysis, is detailed

Non-parametric Tests for Complete Data

The book addressed the testing of hypotheses in non-parametric models in the general case for complete data samples. Classical non-parametric tests (goodness-of-fit , homogenneity, randomness, independence) of complete data are considered and explained. Tests features include the chi-squared and modified chi-squared tests, rank and homogeneity tests, and most of the test results are proved, with real applicatiuons illustrated using examples. The incorrect use of many tests, and their applications using commonly deployed statistical software is highlighted and discuss

Nonparametric tests for censored data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed

Who Becomes Self-Employed: Comparative Analysis Of Lithuania And Latvia

A decision to change one’s status from a hired employee or unemployed person to that of a self-employed person is extremely important in such countries with small economies as Lithuania or Latvia. Previous research (Startienė and Remeikienė 2012) revealed that self-employment in Lithuania is treated as an alternative to escape unemployment but not as an opportunity to find new business niches or implement one’s dreams. Latvia, however, demonstrates a different approach. According to the data of Global Entrepreneurship Monitor (2012) and Krumina (2013), it took the second position from all the EU countries given the share of its population’s activity in the early-stage entrepreneurial activity. In general Lithuania and Latvia may be treated as similar countries in terms of the level of their economic development and culture. That is why the aim of the article is to assess, which group of people (hired employees or unemployed) are more inclined to self-employment in Latvia, and carry out a comparative analysis of the results of the research in Latvia and Lithuania on this topic