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1000 tulosta hakusanalla Ronald K. Pearson

Discrete-time Dynamic Models

Discrete-time Dynamic Models

Ronald K. Pearson

Oxford University Press Inc
1999
sidottu
Fuelled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modelling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills the gap, providing practical insight into model selection for chemical processes and emphasizing structures suitable for control system design.
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Exploratory Data Analysis Using R

Exploratory Data Analysis Using R

Ronald K. Pearson

CRC Press
2020
nidottu
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data.The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing.The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.About the Author:Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).
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Mining Imperfect Data

Mining Imperfect Data

Ronald K. Pearson

Society for Industrial Applied Mathematics,U.S.
2005
pokkari
Data mining is concerned with the analysis of databases large enough that various anomalies, including outliers, incomplete data records, and more subtle phenomena such as misalignment errors, are virtually certain to be present. Mining Imperfect Data describes in detail a number of these problems, as well as their sources, their consequences, their detection, and their treatment. Specific strategies for data pretreatment and analytical validation that are broadly applicable are described, making them useful in conjunction with most data mining analysis methods. Examples are presented to illustrate the performance of the pretreatment and validation methods in a variety of situations; these include simulation-based examples in which "correct" results are known unambiguously as well as real data examples that illustrate typical cases met in practice.Mining Imperfect Data, which deals with a wider range of data anomalies than are usually treated in one book, includes a discussion of detecting anomalies through generalized sensitivity analysis (GSA), a process of identifying inconsistencies using systematic and extensive comparisons of results obtained by analysis of exchangeable datasets or subsets. The book makes extensive use of real data, both in the form of a detailed analysis of a few real datasets and various published examples. Also included is a succinct introduction to functional equations that illustrates their utility in describing various forms of qualitative behavior for useful data characterizations.
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Exploratory Data Analysis Using R

Exploratory Data Analysis Using R

Ronald K. Pearson

TAYLOR FRANCIS LTD
2026
nidottu
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying "interesting" features - good, bad, and ugly - in a dataset, why it is important to find them, how to treat them, and more generally, the use of R to explore and explain datasets and the analysis results derived from them. The book begins with a brief overview of exploratory data analysis using R, followed by a detailed discussion of creating various graphical data summaries in R. Then comes a thorough introduction to exploratory data analysis, and a detailed treatment of 13 data anomalies, why they are important, how to find them, and some options for addressing them. Subsequent chapters introduce the mechanics of working with external data, structured query language (SQL) for interacting with relational databases, linear regression analysis (the simplest and historically most important class of predictive models), and crafting data stories to explain our results to others. These chapters use R as an interactive data analysis platform, while Chapter 9 turns to writing programs in R, focusing on creating custom functions that can greatly simplify repetitive analysis tasks. Further chapters expand the scope to more advanced topics and techniques: special considerations for working with text data, a second look at exploratory data analysis, and more general predictive models. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. It keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.
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Exploratory Data Analysis Using R

Exploratory Data Analysis Using R

Ronald K. Pearson

TAYLOR FRANCIS LTD
2026
sidottu
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying "interesting" features - good, bad, and ugly - in a dataset, why it is important to find them, how to treat them, and more generally, the use of R to explore and explain datasets and the analysis results derived from them. The book begins with a brief overview of exploratory data analysis using R, followed by a detailed discussion of creating various graphical data summaries in R. Then comes a thorough introduction to exploratory data analysis, and a detailed treatment of 13 data anomalies, why they are important, how to find them, and some options for addressing them. Subsequent chapters introduce the mechanics of working with external data, structured query language (SQL) for interacting with relational databases, linear regression analysis (the simplest and historically most important class of predictive models), and crafting data stories to explain our results to others. These chapters use R as an interactive data analysis platform, while Chapter 9 turns to writing programs in R, focusing on creating custom functions that can greatly simplify repetitive analysis tasks. Further chapters expand the scope to more advanced topics and techniques: special considerations for working with text data, a second look at exploratory data analysis, and more general predictive models. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. It keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.
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Exploratory Data Analysis Using R

Exploratory Data Analysis Using R

Ronald K. Pearson

CRC Press
2018
sidottu
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data.The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing.The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.About the Author:Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).
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Exploratory Data Analysis Using R

Exploratory Data Analysis Using R

Ronald K. Pearson

Productivity Press
2018
muu
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. About the Author: Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network).
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Mining Imperfect Data

Mining Imperfect Data

Ronald K. Pearson

Society for IndustrialApplied Mathematics,U.S.
2020
pokkari
Focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them.
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Nonlinear Digital Filtering with Python

Nonlinear Digital Filtering with Python

Ronald K. Pearson; Moncef Gabbouj

Productivity Press
2015
sidottu
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book:Begins with an expedient introduction to programming in the free, open-source computing environment of PythonUses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classesAnalyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategiesProposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these componentsIllustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontierNonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.
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50 Social Studies Strategies for K-8 Classrooms, Pearson Etext with Loose-Leaf Version -- Access Card Package

50 Social Studies Strategies for K-8 Classrooms, Pearson Etext with Loose-Leaf Version -- Access Card Package

Kathryn M. Obenchain; Ronald V. Morris

PEARSON
2014
nidottu
This title is only available as a loose-leaf version with Pearson eText. In 50 Social Studies Strategies for K-8 Classroom, pre-service and practicing teachers get well-explained, useful, meaningful ideas--including 50 ready-to-use strategies--for engaging elementary and middle school students in learning social studies. The strategies are easily adaptable to individual teachers' classroom configurations and needs, and include multiple types of assessment tools that give teachers options in assessing their students. Each strategy is organized for flexibility and ease of use and includes links to the National Council for the Social Studies national curriculum standards, links to the Common Core Strategies, procedural recommendations, application ideas, differentiation sections, assessment sections, references and resources, and more. The strategies are designed to help teachers plan effective social studies lessons using multiple types of student groups, while also accounting for the diversity of learners in today's classrooms. The new Fourth Edition includes updating, revisions, and additions to the strategies throughout. 0133783685 / 9780133783681 50 Social Studies Strategies for K-8 Classrooms, Loose-Leaf Version with Pearson eText -- Access Card Package Package consists of: 013374096X / 9780133740967 50 Social Studies Strategies for K-8 Classrooms, Loose-Leaf Version 0133823172 / 9780133823172 50 Social Studies Strategies for K-8 Classrooms, Pearson eText -- Access Card
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The Judge

The Judge

Ronald K. L. Collins; David M. Skover

Oxford University Press Inc
2017
sidottu
There is no book of political strategy more canonical than Niccolò Machiavelli's The Prince, but few ethicists would advise policymakers to treat it as a bible. The lofty ideals of the law, especially, seem distant from the values that the word "Machiavellian" connotes, and judges are supposed to work above the realm of politics. In The Judge, however, Ronald Collins and David Skover argue that Machiavelli can indeed speak to judges, and model their book after The Prince. As it turns out, the number of people who think that judges in the U.S. are apolitical has been shrinking for decades. Both liberals and conservatives routinely criticize their ideological opponents on the bench for acting politically. Some authorities even posit the impossibility of apolitical judges, and indeed, in many states, judicial elections are partisan. Others advocate appointing judges who are committed to being dispassionate referees adhering to the letter of the law. However, most legal experts, regardless of their leanings, seem to agree that despite widespread popular support for the ideal of the apolitical judge, this ideal is mere fantasy. This debate about judges and politics has been a perennial in American history, but it intensified in the 1980s, when the Reagan administration sought to place originalists in the Supreme Court. It has not let up since. Ronald Collins and David Skover argue that the debate has become both stale and circular, and instead tackle the issue in a boldly imaginative way. In The Judge, they ask us to assume that judges are political, and that they need advice on how to be effective political actors. Their twenty-six chapters track the structure of The Prince, and each provides pointers to judges on how to cleverly and subtly advance their political goals. In this Machiavellian vision, law is inseparable from realpolitik. However, the authors' point isn't to advocate for this coldly realistic vision of judging. There ultimate goal is identify both legal realists and originalists as what they are: explicitly political (though on opposite ends of the ideological spectrum). Taking its cues from Machiavelli, The Judge describes what judges actually do, not what they ought to do.
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Talk that Counts

Talk that Counts

Ronald K. S. Macaulay

Oxford University Press Inc
2005
sidottu
In Talk That Counts, distinguished sociolinguist Rinals Macaulay provides a new way of examining sociolinguistic variation. Linguists traditionally take a limited sample of linguistic data from a given population and look at phonological and morphological variables. Macaulay proposes a much different and highly quantitative approach to the study of variation, which correlates features of discourse with three social categories: social class, gender, and age. He uses as data a sample from 33 speakers of English in Glasgow, and his conclusions indicate that age accounts for the greatest number of differences, followed by gender, with social class accounting for the most variation within a group. Macaulay's work offers a new methodological paradigm to an audience of sociolinguists and others like sociologists concerned with discourse analysis.
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Talk that Counts

Talk that Counts

Ronald K. S. Macaulay

Oxford University Press Inc
2005
nidottu
In Talk That Counts, distinguished sociolinguist Rinals Macaulay provides a new way of examining sociolinguistic variation. Linguists traditionally take a limited sample of linguistic data from a given population and look at phonological and morphological variables. Macaulay proposes a much different and highly quantitative approach to the study of variation, which correlates features of discourse with three social categories: social class, gender, and age. He uses as data a sample from 33 speakers of English in Glasgow, and his conclusions indicate that age accounts for the greatest number of differences, followed by gender, with social class accounting for the most variation within a group. Macaulay's work offers a new methodological paradigm to an audience of sociolinguists and others like sociologists concerned with discourse analysis.
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We Must Not Be Afraid to Be Free

We Must Not Be Afraid to Be Free

Ronald K.L. Collins; Sam Chaltain

Oxford University Press Inc
2014
sidottu
In a stinging dissent to a 1961 Supreme Court decision that allowed the Illinois state bar to deny admission to prospective lawyers if they refused to answer political questions, Justice Hugo Black closed with the memorable line, "We must not be afraid to be free." Black saw the First Amendment as the foundation of American freedom--the guarantor of all other Constitutional rights. Yet since free speech is by nature unruly, people fear it. The impulse to curb or limit it has been a constant danger throughout American history. In We Must Not Be Afraid to Be Free, Ron Collins and Sam Chaltain, two noted free speech scholars and activists, provide authoritative and vivid portraits of free speech in modern America. The authors offer a series of engaging accounts of landmark First Amendment cases, including bitterly contested cases concerning loyalty oaths, hate speech, flag burning, student anti-war protests, and McCarthy-era prosecutions. The book also describes the colorful people involved in each case--the judges, attorneys, and defendants--and the issues at stake. Tracing the development of free speech rights from a more restrictive era--the early twentieth century--through the Warren Court revolution of the 1960s and beyond, Collins and Chaltain not only cover the history of a cherished ideal, but also explain in accessible language how the law surrounding this ideal has changed over time. Essential for anyone interested in this most fundamental of our rights, We Must Not Be Afraid to Be Free provides a definitive and lively account of our First Amendment and the price courageous Americans have paid to secure them.
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The Reformation of Suffering

The Reformation of Suffering

Ronald K. Rittgers

Oxford University Press Inc
2012
sidottu
Protestant reformers sought to effect a radical change in the way their contemporaries understood and coped with the suffering of body and soul that were so prominent in the early modern period. The reformers did so because they believed that many traditional approaches to suffering were not sufficiently Christian--that is, they thought these approaches were unbiblical. The Reformation of Suffering examines the Protestant reformation of suffering and shows how it was a central part of the larger Protestant effort to reform church and society. Despite its importance, no other text has directly examined this reformation of suffering. This book investigates the history of Christian reflection on suffering and consolation in the Latin West and places the Protestant reformation campaign within this larger context, paying close attention to important continuities and discontinuities between Catholic and Protestant traditions. Focusing especially on Wittenberg Christianity, The Reformation of Suffering examines the genesis of Protestant doctrines of suffering among the leading reformers and then traces the transmission of these doctrines from the reformers to the common clergy. It also examines the reception of these ideas by lay people. The text underscores the importance of consolation in early modern Protestantism and seeks to challenge a scholarly trend that has emphasized the themes of discipline and control in Wittenberg Christianity. It shows how Protestant clergymen and burghers could be remarkably creative and resourceful as they sought to convey solace to one another in the midst of suffering and misfortune. The Protestant reformation of suffering had a profound impact on church and society in the early modern period and contributed significantly to the shape of the modern world.
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Handbook of Research on Urban Politics and Policy in the United States

Handbook of Research on Urban Politics and Policy in the United States

Ronald K. Vogel

Greenwood Press
1997
sidottu
A comprehensive reference work which provides a way to access research on urban politics and policy in the United States. Experts in the field guide readers through major controversies, while evaluating and assessing the subfields of urban politics and policy. Each chapter follows the same basic organization with topics such as methodological and theoretical issues, current states of the field, and directions for future research.For students, this work provides a starting place to guide them to the most important works in a particular subfield and a context to place their work in a larger body of knowledge. For scholars, it serves as a reference work for immediately familiarity with subfields of the discipline, including classic studies and major research questions. For urban policymakers or analysts, the handbook provides a wealth of information and allows quick identification of existing academic knowledge and research relevant to the problem at hand.
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The Death Of Discourse

The Death Of Discourse

Ronald K L Collins; David M Skover

Routledge
2019
sidottu
In this innovative book, the authors persuasively argue that the First Amendment to the Constitution has risen in the late twentieth century, like an ill guided individual with knife in hand, to murder a longstanding tradition of fine and meaningful discourse in the United States. We are bombarded with the cacophony of advertisement, the luridity of pornography, and the pointlessness of prime timepoor substitutes for intelligent consideration of ideas. }In this innovative book, the authors persuasively argue that the First Amendment to the Constitution has risen in the late twentieth century, like an ill-guided individual with knife in hand, to murder a long-standing tradition of fine and meaningful discourse in the United States. What has died is the essential kind of political discourse which promotes democracy; informs citizens; enlivens debate; and carries reason, method, and purpose. Instead, we are bombarded with the cacophony of advertisement, the luridity of pornography, and the pointlessness of prime time.With satirical spirit and wityet to a very serious purpose the narrative of this lively study calls upon many of the very tricks it criticizes. The text is augmented by amusing tales, poetry, tv zaps, eyebites, and boxes of aphorisms resonating between high and low culture, between Plato and Geraldo and Madonna and Mahler to make its points, the discussion reveals how discourse in contemporary America has lost its integrity and its soul.
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The Death Of Discourse

The Death Of Discourse

Ronald K L Collins; David M Skover

Routledge
2021
nidottu
In this innovative book, the authors persuasively argue that the First Amendment to the Constitution has risen in the late twentieth century, like an ill guided individual with knife in hand, to murder a longstanding tradition of fine and meaningful discourse in the United States. We are bombarded with the cacophony of advertisement, the luridity of pornography, and the pointlessness of prime timepoor substitutes for intelligent consideration of ideas. }In this innovative book, the authors persuasively argue that the First Amendment to the Constitution has risen in the late twentieth century, like an ill-guided individual with knife in hand, to murder a long-standing tradition of fine and meaningful discourse in the United States. What has died is the essential kind of political discourse which promotes democracy; informs citizens; enlivens debate; and carries reason, method, and purpose. Instead, we are bombarded with the cacophony of advertisement, the luridity of pornography, and the pointlessness of prime time.With satirical spirit and wityet to a very serious purpose the narrative of this lively study calls upon many of the very tricks it criticizes. The text is augmented by amusing tales, poetry, tv zaps, eyebites, and boxes of aphorisms resonating between high and low culture, between Plato and Geraldo and Madonna and Mahler to make its points, the discussion reveals how discourse in contemporary America has lost its integrity and its soul.
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A Photo Pass to the Amazing 1960s: A photo journey from Road America to the Indy 500, Watkins Glen F1, Meadowdale and more.

A Photo Pass to the Amazing 1960s: A photo journey from Road America to the Indy 500, Watkins Glen F1, Meadowdale and more.

Ronald K. Nelson

Prairie Street Art
2020
sidottu
Photographs from the race tracks and the events they promoted and held. Follow the progress of drivers and events that made the 60s an amazing period in motorsport history. Classic images never before published from the Indy 500, Watkins Glen F1, Road America, Meadowdale, Milwaukee and other tracks in the midwest. The cars and drivers who captured the fans loyal following. A family album of iconic photos that you will enjoy in your library.
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