• Mathematics

Mathematical Statistics and Data Analysis


Author: John A. Rice
Publisher: Cengage Learning
ISBN: 0534399428
Category: Mathematics
Page: 688
View: 728
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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Statistics

Mathematical Statistics and Data Analysis


Author: John A. Rice
Publisher: N.A
ISBN: 9780495118688
Category: Statistics
Page: 603
View: 1228
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.

    • Mathematics

Introduction to Statistics and Data Analysis


Author: Roxy Peck,Chris Olsen,Jay L. Devore
Publisher: Cengage Learning
ISBN: 1305445961
Category: Mathematics
Page: 844
View: 9368
Roxy Peck, Chris Olsen, and Jay Devore's new edition uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand. INTRODUCTION TO STATISTICS AND DATA ANALYSIS includes updated coverage of most major technologies, as well as expanded coverage of probability. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Mathematics

An Introduction to Statistical Methods and Data Analysis


Author: R. Lyman Ott,Micheal T. Longnecker
Publisher: Cengage Learning
ISBN: 1305465520
Category: Mathematics
Page: 1296
View: 6483
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Mathematics

Mathematical Statistics with Resampling and R


Author: Laura M. Chihara,Tim C. Hesterberg
Publisher: John Wiley & Sons
ISBN: 1118029852
Category: Mathematics
Page: 418
View: 7653
The Central Limit Theorem.

    • Mathematics

Graphical Methods for Data Analysis


Author: J. M. Chambers
Publisher: CRC Press
ISBN: 135108920X
Category: Mathematics
Page: 410
View: 4756
This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data ? even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.

    • Mathematics

The Statistical Sleuth: A Course in Methods of Data Analysis


Author: Fred Ramsey,Daniel Schafer
Publisher: Cengage Learning
ISBN: 1133490670
Category: Mathematics
Page: 784
View: 2697
THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Mathematics

Introduction to Probability and Mathematical Statistics


Author: Lee J. Bain,Max Engelhardt
Publisher: Duxbury Press
ISBN: 9780534380205
Category: Mathematics
Page: 644
View: 1872
The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability (stochastic) models. Lee J. Bain and Max Engelhardt focus on the mathematical development of the subject, with examples and exercises oriented toward applications.

    • Mathematics

Data Analysis by Resampling

Concepts and Applications
Author: Clifford E. Lunneborg
Publisher: Brooks/Cole
ISBN: 9780534221102
Category: Mathematics
Page: 568
View: 8120
In DATA ANALYSIS BY RESAMPLING, Clifford Lunneborg argues that modern computing power has rendered the model-driven and assumption-plagued data analyses of the past unnecessary, obsolete, and inappropriate. This book introduces readers to modern, design-driven analyses that depend only on the observed data, on knowledge of how the data were collected, and on questions the data were intended to answer. Overall, Lunneborg provides a modern and timely approach to statistical inference.

    • Mathematics

An Introduction to Statistical Methods and Data Analysis


Author: R. Lyman Ott,Micheal T. Longnecker
Publisher: Cengage Learning
ISBN: 1111779988
Category: Mathematics
Page: 1296
View: 9569
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

    • Computers

SAS Applications Programming

A Gentle Introduction
Author: Frank C. DiIorio
Publisher: Duxbury Resource Center
ISBN: 9780534499709
Category: Computers
Page: 684
View: 1525

    • Inferenzstatistik

Statistical Inference


Author: George Casella,Roger L. Berger
Publisher: Duxbury Resource Center
ISBN: 9780495391876
Category: Inferenzstatistik
Page: 660
View: 9378
This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

    • Carey, Patrick

Data Analysis with Microsoft Excel


Author: Kenneth N. Berk,Patrick Carey
Publisher: Brooks/Cole
ISBN: N.A
Category: Carey, Patrick
Page: 587
View: 5999
This popular hands-on text teaches students how to use Microsoft Excel to solve the kind of statistical problems that arise in business and elsewhere. Even students with no previous experience using computer spreadsheets will find that this text's step-by-step approach, extensive tutorials, and examples, make it easy to learn how to use Excel for analyzing data sets. A CD-ROM that accompanies the text contains StatPlus 2.0 data sets and exercises.

    • Matematisk statistik

Mathematical Statistics with Applications


Author: Dennis D. Wackerly,William Mendenhall,Richard L. Scheaffer
Publisher: Cengage Learning
ISBN: 9780495385080
Category: Matematisk statistik
Page: 912
View: 2748
The authors present the theory of statistics in the context of practical problem solving and real world applications. This practical approach helps you discover the nature of statistics and comprehend its essential role in scientific research.--

    • Mathematics

Mathematical Statistics: Exercises and Solutions


Author: Jun Shao
Publisher: Springer Science & Business Media
ISBN: 0387282769
Category: Mathematics
Page: 360
View: 1375
The exercises are grouped into seven chapters with titles matching those in the author's Mathematical Statistics. Can also be used as a stand-alone because exercises and solutions are comprehensible independently of their source, and notation and terminology are explained in the front of the book. Suitable for self-study for a statistics Ph.D. qualifying exam.

    • Mathematics

Probability Essentials


Author: Jean Jacod,Philip Protter
Publisher: Springer Science & Business Media
ISBN: 3642556825
Category: Mathematics
Page: 254
View: 1348
This introduction can be used, at the beginning graduate level, for a one-semester course on probability theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as finance theory, electrical engineering, and operations research. The text covers the essentials in a directed and lean way with 28 short chapters, and assumes only an undergraduate background in mathematics. Readers are taken right up to a knowledge of the basics of Martingale Theory, and the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.

    • Mathematics

A First Course in Statistical Methods


Author: Lyman Ott,Michael Longnecker
Publisher: Duxbury Press
ISBN: 9780534408060
Category: Mathematics
Page: 741
View: 5990
A FIRST COURSE IN STATISTICAL METHODS addresses a pressing need in the methods course—a shorter text designed for a one-term course. By selecting and revising material from their best-selling two-semester text, AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Fifth Edition, the authors created an ideal book for a one-term course in statistical methods. Based on the belief that statistics is a thought process tied to the scientific method, the text utilizes a 5-step approach: 1) defining the problem, 2) collecting data, 3) summarizing data, 4) analyzing and interpreting the data, and 5) communicating the results of the analysis.

    • Mathematics

Investigating Statistical Concepts, Applications, and Methods


Author: Beth L. Chance,Allan J. Rossman
Publisher: Cengage Learning
ISBN: 0495050644
Category: Mathematics
Page: 607
View: 5576
INVESTIGATING STATISTICAL CONCEPTS, APPLICATIONS, AND METHODS (WITH CD-ROM) combines investigation and exposition to explore statistical ideas and techniques. Many of the investigations ask you to use technology such as statistical software and Java applets. A combination of practice, homework, and application problems emphasize actual studies.

    • Mathematics

Stat Labs

Mathematical Statistics Through Applications
Author: Deborah Nolan,Terry P. Speed
Publisher: Springer Science & Business Media
ISBN: 0387227431
Category: Mathematics
Page: 283
View: 5164
Integrating the theory and practice of statistics through a series of case studies, each lab introduces a problem, provides some scientific background, suggests investigations for the data, and provides a summary of the theory used in each case. Aimed at upper-division students.

    • Language Arts & Disciplines

Communication Research Statistics


Author: John C. Reinard
Publisher: SAGE Publications
ISBN: 1506320481
Category: Language Arts & Disciplines
Page: 600
View: 4164
While most books on statistics seem to be written as though targeting other statistics professors, John Reinard's Communication Research Statistics is especially impressive because it is clearly intended for the student reader, filled with unusually clear explanations and with illustrations on the use of SPSS. I enjoyed reading this lucid, student-friendly book and expect students will benefit enormously from its content and presentation. Well done!" --John C. Pollock, The College of New Jersey Written in an accessible style using straightforward and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research undertaken in communication studies. This introductory textbook is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel XP.