Listing 1 - 3 of 3 |
Sort by
|
Choose an application
Programming --- Java (informatica) --- 681.3*D2 --- 681.3*D32 --- 681.3*D3 --- Software engineering: protection mechanisms; standards--See also {681.3*K63}; {681.3*K51} --- language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Programming languages --- 681.3*D3 Programming languages --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- 681.3*D2 Software engineering: protection mechanisms; standards--See also {681.3*K63}; {681.3*K51} --- Java
Choose an application
Computer science --- Java (Computer program language). --- Object-oriented programming (Computer science). --- Study and teaching. --- language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Software engineering: protection mechanisms; standards--See also {681.3*K63}; {681.3*K51} --- 681.3*D2 Software engineering: protection mechanisms; standards--See also {681.3*K63}; {681.3*K51} --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- 681.3*D32 --- 681.3*D3 --- 681.3*D2 --- 681.3*D3 Programming languages --- Programming languages --- Programming --- object oriented --- programmeertalen --- Java (informatica)
Choose an application
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. Includes numerous worked examples and exercises within each chapter. Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology & but wi
Computer industry: markets; standards; statistics; suppliers --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 681.3*K1 Computer industry: markets; standards; statistics; suppliers --- Mathematical statistics --- R (Computer program language) --- 681.3*D3 --- 681.3*G3 --- 681.3*I25 --- 681.3*J2 --- 681.3*K1 --- GNU-S (Computer program language) --- Domain-specific programming languages --- 681.3*D3 Programming languages --- Programming languages --- 681.3*J2 Physical sciences and engineering (Computer applications) --- Physical sciences and engineering (Computer applications) --- 681.3*I25 Programming languages and software: expert system tools and techniques (Artificial intelligence)--See also {681.3*D32} --- Programming languages and software: expert system tools and techniques (Artificial intelligence)--See also {681.3*D32} --- Programming --- R (Computer program language). --- Statistique mathématique --- R (Langage de programmation) --- Textbooks --- Manuels d'enseignement supérieur --- Mathematical statistics - Textbooks --- Acqui 2006
Listing 1 - 3 of 3 |
Sort by
|